Journal articles: 'Topic hierarchy'

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Zhou, Xue Mei, and Shan Ying Cheng. "Hierarchy Topic Detection and Hot Topic Identification." Applied Mechanics and Materials 701-702 (December 2014): 180–86. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.180.

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Due to the problem that the existing topic detection algorithms can not satisfy accuracy,real time and topic hierarchical clustering at the same time, this article builds a hierarchy topic detection algorithm based on improved single pass clustering algorithm. In addition, using public opinion evaluation indexes to analyze topic temperature,the method proposed in this paper can detect hot topics accurately and timely while showing the hierarchical structure of the topic .

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Xue, Han, Bing Qin, Ting Liu, and Shen Liu. "Topic hierarchy construction from heterogeneous evidence." Frontiers of Computer Science 10, no. 1 (September 8, 2015): 136–46. http://dx.doi.org/10.1007/s11704-015-4548-5.

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Kim, Han-joon, and Sang-goo Lee. "Building topic hierarchy based on fuzzy relations." Neurocomputing 51 (April 2003): 481–86. http://dx.doi.org/10.1016/s0925-2312(02)00726-9.

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Pan, Tao, Qian Chen, Dong Dong Lv, Shu Han Yuan, and Xin Jin. "Study of Topic Life Cycle Based on Hierarchical HMM." Applied Mechanics and Materials 687-691 (November 2014): 1324–27. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1324.

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This paper presents a topic ontology tree based hierarchical HMM (hHMM), and the generation of topic property based life cycle curve is studied. Compared with the traditional methods, this model can describe the hierarchy relations of topics.

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Koltcov, Sergei, Vera Ignatenko, Maxim Terpilovskii, and Paolo Rosso. "Analysis and tuning of hierarchical topic models based on Renyi entropy approach." PeerJ Computer Science 7 (July 29, 2021): e608. http://dx.doi.org/10.7717/peerj-cs.608.

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Hierarchical topic modeling is a potentially powerful instrument for determining topical structures of text collections that additionally allows constructing a hierarchy representing the levels of topic abstractness. However, parameter optimization in hierarchical models, which includes finding an appropriate number of topics at each level of hierarchy, remains a challenging task. In this paper, we propose an approach based on Renyi entropy as a partial solution to the above problem. First, we introduce a Renyi entropy-based metric of quality for hierarchical models. Second, we propose a practical approach to obtaining the “correct” number of topics in hierarchical topic models and show how model hyperparameters should be tuned for that purpose. We test this approach on the datasets with the known number of topics, as determined by the human mark-up, three of these datasets being in the English language and one in Russian. In the numerical experiments, we consider three different hierarchical models: hierarchical latent Dirichlet allocation model (hLDA), hierarchical Pachinko allocation model (hPAM), and hierarchical additive regularization of topic models (hARTM). We demonstrate that the hLDA model possesses a significant level of instability and, moreover, the derived numbers of topics are far from the true numbers for the labeled datasets. For the hPAM model, the Renyi entropy approach allows determining only one level of the data structure. For hARTM model, the proposed approach allows us to estimate the number of topics for two levels of hierarchy.

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Pradhan, Ligaj, Chengcui Zhang, and Steven Bethard. "Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews." International Journal of Multimedia Data Engineering and Management 7, no. 4 (October 2016): 63–80. http://dx.doi.org/10.4018/ijmdem.2016100104.

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Intricate user-behaviors can be understood by discovering user interests from their reviews. Topic modeling techniques have been extensively explored to discover latent user interests from user reviews. However, a topic extracted by topic modelling techniques can be a mixture of several quite different concepts and thus less interpretable. In this paper, the authors present a method that uses topic modeling techniques to discover a large number of topics and applies hierarchical clustering to generate a much smaller number of interpretable User-Concerns. These User-Concerns are further compared with topics generated by Latent Dirichlet Allocation (LDA) and Pachinko Allocation Model (PAM) and shown to be more coherent and interpretable. The authors cut the linkage tree formed while performing the hierarchical clustering of the User-Concerns, at different levels, and generate a hierarchy of User-Concerns. They also discuss how collaborative filtering based recommendation systems can be enriched by infusing additional user-behavioral knowledge from such hierarchy.

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Liu, Shen, Bing Qin, Ting Liu, and Han Xue. "Tag recommendation based on topic hierarchy of folksonomy." International Journal of Computational Science and Engineering 20, no. 1 (2019): 49. http://dx.doi.org/10.1504/ijcse.2019.10024805.

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Xue, Han, Bing Qin, Ting Liu, and Shen Liu. "Tag recommendation based on topic hierarchy of folksonomy." International Journal of Computational Science and Engineering 20, no. 1 (2019): 49. http://dx.doi.org/10.1504/ijcse.2019.103249.

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Hoque, Enamul, and Giuseppe Carenini. "Interactive topic hierarchy revision for exploring a collection of online conversations." Information Visualization 18, no. 3 (February 23, 2018): 318–38. http://dx.doi.org/10.1177/1473871618757228.

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In the last decade, there has been an exponential growth of asynchronous online conversations (e.g. blogs), thanks to the rise of social media. Analyzing and gaining insights from such discussions can be quite challenging for a user, especially when the user deals with hundreds of comments that are scattered around multiple different conversations. A promising solution to this problem is to automatically mine the major topics from conversations and organize them into a hierarchical structure. However, the resultant topic hierarchy can be noisy and/or it may not match the user’s current information needs. To address this problem, we introduce a novel human-in-the-loop approach that allows the user to revise the topic hierarchy based on her feedback. We incorporate this approach within a visual text analytics system that helps users in analyzing and getting insights from conversations by exploring and revising the topic hierarchy. We evaluated the resulting system with real users in a lab-based study. The results from the user study, when compared to its counterpart that does not support interactive revisions of a hierarchical topic model, provide empirical evidence of the potential utility of our system in terms of both performance and subjective measures. Finally, we summarize generalizable lessons for introducing human-in-the-loop computation within a visual text analytics system.

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Chen, Jing, Tian Tian Wang, and Quan Lu. "THC-DAT: a document analysis tool based on topic hierarchy and context information." Library Hi Tech 34, no. 1 (March 21, 2016): 64–86. http://dx.doi.org/10.1108/lht-07-2015-0074.

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Purpose – The purpose of this paper is to propose a novel within-document analysis tool (DAT) topic hierarchy and context-based document analysis tool (THC-DAT) which enables users to interactively analyze any multi-topic document based on fine-grained and hierarchical topics automatically extracted from it. THC-DAT used hierarchical latent Dirichlet allocation method and took the context information into account so that it can reveal the relationships between latent topics and related texts in a document. Design/methodology/approach – The methodology is a case study. The authors reviewed the related literature first, then utilized a general “build and test” research model. After explaining the model, interface and functions of THC-DAT, a case study was presented using a scholarly paper that was analyzed with the tool. Findings – THC-DAT can organize and serve document topics and texts hierarchically and context based, which overcomes the drawbacks of traditional DATs. The navigation, browse, search and comparison functions of THC-DAT enable users to read, search and analyze multi-topic document efficiently and effectively. Practical implications – It can improve the document organization and services in digital libraries or e-readers, by helping users to interactively read, search and analyze documents efficiently and effectively, exploringly learn about unfamiliar topics with little cognitive burden, or deepen their understanding of a document. Originality/value – This paper designs a tool THC-DAT to analyze document in a THC way. It contributes to overcoming the coarse-analysis drawbacks of existing within-DATs.

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Tang, An Qiong, We Nan Tan, Tong Wang, Lin Shan Cui, and Shan Tang. "Integrating Knowledge Requirements into Topic Map for Online-Education." Advanced Materials Research 791-793 (September 2013): 1721–25. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1721.

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Topic Map, which described as The GPS of information universe, traditionally focused on building knowledge structure and associating them with information resources. In online-education environment, it has been used to address the issues about people disoriented in huge amounts of learning resources, to support learners browse the semantic relationship between knowledge topics and find the learning content effectively and instructors externalize their implicit knowledge both on conceptual and information level. However, as the explosion of knowledge information, people are suffering the disorientation of knowledge topics. Specially, learners are puzzled about what knowledge are valuable and need to learn, and knowledge providers dont know how to update outdated knowledge hierarchy or develop new knowledge product for changing requirements. To address this problem, we extend Topic map by adding a top level, named knowledge requirement level (KRL). This level KRL can be used to guide learners to concentrate on the required knowledge topics, and drive knowledge providers to redevelop or refactor outdated knowledge hierarchy. In order to obtaining social knowledge topic requirement for KRL, we have developed an information extraction tool, named WIE, to extract knowledge requirement information from job-list Webpages for supporting users extract data for different piece of a given structure-fixed Webpages.

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Suzuki, Yu, Hiromitsu Ohara, and Akiyo Nadamoto. "What is your tweet worldview? Mapping the topic structure of tweets on the Wikipedia." International Journal of Pervasive Computing and Communications 14, no. 1 (April 3, 2018): 2–14. http://dx.doi.org/10.1108/ijpcc-d-18-00008.

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Purpose This paper aims to propose a method for summarizing the topics of tweets using the Wikipedia category structure as common knowledge for supplementing the understanding of the Twitter user’s interests. There are many topics in the tweets, and the topics can be treated as a tree structure. However, when the topic hierarchy is constructed using existing hierarchal clustering approach, the granularity of tweet groups differs for each user. For summarizing the topics, identification of the topics which are heterogeneous and which are not is necessary because it is easy to understand if several groups are categorized into parent groups. However, if the group units are different for each user, a number of users’ interests cannot be summarized. If some tweets are grouped into the presidential election, and the others are into Donald Trump, there cannot be a count of how many users are interested in Donald Trump. Design/methodology/approach One solution of this issue is to construct topic structures by mapping one common tree structure. In this paper, a method is proposed for constructing the topic structure using the Wikipedia category tree similar to a common tree structure. The tweets are categorized, mapped to titles of articles in the Wikipedia category tree and then visualized as the hierarchal structure to the users. Findings The effectiveness of the proposed hierarchal topic structure is confirmed. In theme “politics”, the proposed method works well. The main reason is that there are many technical terms about politics in the Wikipedia categories and articles. It was found that a number of the terms of politics do not have multiple meanings, multiple semantics. However, in theme “sports”, the proposed method does not perform well. The main reason for this case is that there are a number of names of people present as topic names. Originality/value One important feature of the proposed method is that it is easy to grasp not only about the topics which are heterogeneous or homogeneous with each other but also consider the missing time when extracting topics. Another feature is that the topic structures for multiple users are easy to compare with each other.

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Anoop, V. S., S. Asharaf, and P. Deepak. "Unsupervised Concept Hierarchy Learning: A Topic Modeling Guided Approach." Procedia Computer Science 89 (2016): 386–94. http://dx.doi.org/10.1016/j.procs.2016.06.086.

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Yang, Christopher C., and Nan Liu. "Web site topic-hierarchy generation based on link structure." Journal of the American Society for Information Science and Technology 60, no. 3 (March 2009): 495–508. http://dx.doi.org/10.1002/asi.20990.

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Sorokin, Dmitry Igorevich, Anton Sergeevich Nuzhny, and Elena Alexandrovna Saveleva. "Hierarchical Rubrication of Text Documents." Proceedings of the Institute for System Programming of the RAS 32, no. 6 (2020): 127–36. http://dx.doi.org/10.15514/ispras-2020-32(6)-10.

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Topic modeling is an important and widely used method in the analysis of a large collection of documents. It allows us to digest the content of documents by examination of the selected topics. It has drawbacks such as a need to specify the number of topics. The topics can become too local or too global, depending on that number. Also, it does not provide a relation between local and global topics. Here we present an algorithm and a computer program for the hierarchical rubrication of text documents. The program solves these problems by creating a hierarchy of automatically selected topics in which local topics are connected of the global topics. The program processes PDF documents split them into text segments, builds vector representations using word2vec model and stores them in a database. The vector embeddings are structured in the form of a hierarchy of automatically constructed categories. Each category is identified by automatically selected keywords. The result is visualized in an interactive map. Traversing the hierarchy of topics is done by zooming the map. An analysis of the constructed hierarchy of categories allows us to evaluate the minimum and maximum depth of the hierarchy corresponding to a minimum and a maximum number of different topics contained in the collection of documents. The program was tested on documents on deep nuclear waste disposal.

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Nespolo, Massimo, Mois Ilia Aroyo, and Bernd Souvignier. "Crystallographic shelves: space-group hierarchy explained." Journal of Applied Crystallography 51, no. 5 (September 24, 2018): 1481–91. http://dx.doi.org/10.1107/s1600576718012724.

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Space groups are classified, according to different criteria, into types, classes, systems and families. Depending on the specific research topic, some of these concepts will be more relevant to the everyday crystallographer than others. Unfortunately, incorrect use of the classification terms often leads to misunderstandings. This article presents the rationale behind the different classification levels.

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Fang, Jin, and Fariborz Y. Partovi. "Criteria determination of analytic hierarchy process using a topic model." Expert Systems with Applications 169 (May 2021): 114306. http://dx.doi.org/10.1016/j.eswa.2020.114306.

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Kuppevelt, Jan Van. "Discourse structure, topicality and questioning." Journal of Linguistics 31, no. 1 (March 1995): 109–47. http://dx.doi.org/10.1017/s002222670000058x.

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In this paper we present an alternative approach to discourse structure according to which topicality is the general organizing principle in discourse. This approach accounts for the fact that the segmentation structure of discourse is in correspondence with the hierarchy of topics defined for the discourse units. Fundamental to the proposed analysis is the relation it assumes between the notion of topic and that of explicit and implicit questioning in discourse. This relation implies that (1) the topic associated with a discourse unit is provided by the explicit or implicit question it answers and (2) the relation between discourse units is determined by the relation between these topic-providing questions.

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Su, Xiaohui, Shurui Ma, Xiaokang Qiu, Jiabin Shi, Xiaodong Zhang, and Feixiang Chen. "Microblog Topic-Words Detection Model for Earthquake Emergency Responses Based on Information Classification Hierarchy." International Journal of Environmental Research and Public Health 18, no. 15 (July 28, 2021): 8000. http://dx.doi.org/10.3390/ijerph18158000.

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Social media data are constantly updated, numerous, and characteristically prominent. To quickly extract the needed information from the data to address earthquake emergencies, a topic-words detection model of earthquake emergency microblog messages is studied. First, a case analysis method is used to analyze microblog information after earthquake events. An earthquake emergency information classification hierarchy is constructed based on public demand. Then, subject sets of different granularities of earthquake emergency information classification are generated through the classification hierarchy. A detection model of new topic-words is studied to improve and perfect the sets of topic-words. Furthermore, the validity, timeliness, and completeness of the topic-words detection model are verified using 2201 messages obtained after the 2014 Ludian earthquake. The results show that the information acquisition time of the model is short. The validity of the whole set is 96.96%, and the average and maximum validity of single words are 78% and 100%, respectively. In the Ludian and Jiuzhaigou earthquake cases, new topic-words added to different earthquakes only reach single digits in validity. Therefore, the experiments show that the proposed model can quickly obtain effective and pertinent information after an earthquake, and the complete performance of the earthquake emergency information classification hierarchy can meet the needs of other earthquake emergencies.

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Zhang, Chengzhi, Hua Zhao, Xuehua Chi, and Shuitian Ma. "Information Organization Patterns from Online Users in a Social Network." KNOWLEDGE ORGANIZATION 46, no. 2 (2019): 90–103. http://dx.doi.org/10.5771/0943-7444-2019-2-90.

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Recent years have seen the rise of user-generated contents (UGCs) in online social media. Diverse UGC sources and information overload are making it increasingly difficult to satisfy personalized information needs. To organize UGCs in a user-centered way, we should not only map them based on textual topics but also link them with users and even user communities. We propose a multi-dimensional framework to organize information by connecting UGCs, users, and user communities. First, we use a topic model to generate a topic hierarchy from UGCs. Second, an author-topic model is applied to learn user interests. Third, user communities are detected through a label propagation algorithm. Finally, a multi-dimensional information organization pattern is formulated based on similarities among the topic hierarchies of UGCs, user interests, and user communities. The results reveal that: 1) our proposed framework can organize information from multiple sources in a user-centered way; 2) hierarchical topic structures can provide comprehensive and in-depth topics for users; and, 3) user communities are efficient in helping people to connect with others who have similar interests.

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Pihel, Karl Joosep. "Narratiiv ja topos Heino Elleri “Sümfoonilises legendis”." Mäetagused 81 (December 2021): 91–120. http://dx.doi.org/10.7592/mt2021.81.pihel.

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This article focuses on the narrative analysis of late-romantic instrumental music. Having adopted the structuralist-semiotic conception of musical narrative as proposed by Byron Almén (2008) as the transvaluation of an opposing hierarchy, and the concept of the musical topic as musical elements with specific stylistic-cultural associations, I analyse the expressive form of Heino Eller’s early symphonic poem “Symphonic Legend” (1923). Narrative logic was found to permeate the musical work despite its collage or suite-like form, as the composer introduces characteristic musical actors that re-appear in different musical contexts. These actors are largely distinguished by musical topics, the conventional stylistic associations related with their musical characteristics as Eller’s piece presents a wide synthesis of styles – from musical impressionism and expressionism to lyrical or chromatic late-romantic; and various topics, such as fantastic, ombra, apassionata, pianto, heroic, and pastoral. Further, I propose a layered narrative structure for the “Symphonic Legend”, as the jarring and abrupt changes in musical material, affect and topic between different movements of the piece suggest shifts in the level of musical discourse and a framed narrative, as proposed by Hatten (1994). The primary order-imposing hierarchy is identified as the pastoral-impressionist topic that acts as the introduction and coda to the entire piece while the transgressive hierarchy is carried by antagonistic musical material associated with fantastical and dysphoric topics (whole-tone scale, chromaticism, fanfare-like brass and ombra) and with the main theme-actor of the piece (a theme strongly resembling the main theme of the first part of Rimsky-Korsakov’s “Scheherezade”). While the pastoral beginning and end of the piece (1st and 11th sections) suggest a narrative trajectory of a romance or “the victory of the order-imposing hierarchy over the transgression”, the abrupt shifts that occur between those sections and the middle-sections of the piece suggest that these take place at a different level of discourse, placing the narrative weight in sections 2–10, where the primary conflict seems to be between the antagonistic material and the theme-actor. In the middle sections Eller seems to problematize the typical narrative trajectory of dysphoric to euphoric in 19th-century symphonic poems, as the theme-actor’s heroic apotheosis in the 9th section is undermined by its reprise in section 10 and ultimate inability to be united with the order-imposing hierarchy in the coda, suggesting an ironic narrative. This reading is hopefully the first of many narrative analyses of Eller’s and other Estonian composers’ unique late-romantic and early modern symphonic poems.

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Wu, I.-Chin, and Pertti Vakkari. "Supporting navigation in Wikipedia by information visualization: extended evaluation measures." Journal of Documentation 70, no. 3 (May 6, 2014): 392–424. http://dx.doi.org/10.1108/jd-10-2012-0138.

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Purpose – The authors introduce two semantics-based navigation applications that facilitate information-seeking activities in internal link-based web sites in Wikipedia. These applications aim to help users find concepts within a topic and related articles on a given topic quickly and then gain topical knowledge from internal link-based encyclopedia web sites. The paper aims to discuss these issues. Design/methodology/approach – The WNavi s application consists of three information visualization (IV) tools which are a topic network, a hierarchy topic tree and summaries for topics. The WikiMap application consists of a topic network. The goal of the topic network and topic tree tools is to help users to find the major concepts of a topic and identify relationships between these major concepts easily. In addition, in order to locate specific information and enable users to explore and read topic-related articles quickly, the topic tree and summaries for topics tools support users to gain topical knowledge quickly. The authors then apply the k-clique of cohesive indicator to analyze the sub topics of the seed query and find out the best clustering results via the cosine measure. The authors utilize four metrics, which are correctness, time cost, usage behaviors, and satisfaction, to evaluate the three interfaces. These metrics measure both the outputs and outcomes of applications. As a baseline system for evaluation the authors used a traditional Wikipedia interface. For the evaluation, the authors used an experimental user study with 30 participants. Findings – The results indicate that both WikiMap and WNavi s supported users to identify concepts and their relations better compared to the baseline. In topical tasks WNavi s over performed both WikiMap and the baseline system. Although there were no time differences in finding concepts or answering topical questions, the test systems provided users with a greater gain per time unit. The users of WNavi s leaned on the hierarchy tree instead of other tools, whereas WikiMap users used the topic map. Research limitations/implications – The findings have implications for the design of IR support tools in knowledge-intensive web sites that help users to explore topics and concepts. Originality/value – The authors explored to what extent the use of each IV support tool contributed to successful exploration of topics in search tasks. The authors propose extended task-based evaluation measures to understand how each application provides useful context for users to accomplish the tasks and attain the search goals. That is, the authors not only evaluate the output of the search results, e.g. the number of relevant items retrieved, but also the outcome provided by the system for assisting users to attain the search goal.

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Luostarinen, Riku, and Jukka Manner. "Managing Hierarchically Structured DTN-Like Networks." Journal of Computer Networks and Communications 2018 (September 24, 2018): 1–26. http://dx.doi.org/10.1155/2018/3659546.

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Network management in Delay/Disruption Tolerant Networks (DTNs) is an active research topic and covers topics such as system architecture, roles of actors, and management protocol. The existing solutions either expect a flat management hierarchy or do not address the hierarchical structure used in management. However, in many real-world DTN use cases, particularly in emergency and military contexts, the actors using the DTN system are a part of an organizational or operational hierarchy, and the network design and topology follow the hierarchical structure. This paper introduces a DTN management scheme that is based on that hierarchy. The paper presents a node categorization that is based on the hierarchy, the characteristics of the hierarchical management, roles and responsibilities of the managed and managing nodes in the hierarchy, and the related concept of management responsibility stack. Further, the paper discusses the characteristics of the messaging and configurability of the nodes in a hierarchical network, and introduces a problem called DTN management trilemma. The paper also presents a use case where the concepts of this paper are applied to network management of a hierarchical organization in a reference scenario, and the performance of the hierarchical management methods is compared to an equivalent nonhierarchical solution.

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Kairong, Li, Qu Libing, Zhu Junwu, Kong Zhaokun, and Zhao Dongwei. "Study of Documents Multi-hierarchy Categorization Based on Topic Label and LSI." Information Technology Journal 12, no. 19 (September 15, 2013): 5044–51. http://dx.doi.org/10.3923/itj.2013.5044.5051.

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Such\'aček, Jan. "Urban Cultural Hierarchy through the Lens of a National TV Reporting." Cultural Management: Science and Education 6, no. 1 (July 11, 2022): 29–38. http://dx.doi.org/10.30819/cmse.6-1.02.

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There are only few doubts on the importance of culture for urban life. This article deals with the culture in Czech regional metropolises as it is reflected in the frame of the national TV reporting. The main objective of this article was to analyse and assess contributions that concern culture in individual capitals of self-governing regions in Czechia and are broadcasted within national TV coverage. The focal point of this article was represented by culture-related contributions bound just to the 13 regional metropolises in Czechia. The whole issue will be monitored from both quantitative and qualitative views. Contrary to other media topics, cultural themes tend to be much more positive and generally improve images and reputations of respective towns. In spite of the relevance of this topic, an amazingly small amount of research has been accomplished on the culture in Czech regional metropolises as portrayed within national TV coverage.

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Hong, Yuling, and Qishan Zhang. "Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models." Discrete Dynamics in Nature and Society 2020 (August 24, 2020): 1–11. http://dx.doi.org/10.1155/2020/9634308.

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Purpose. The purpose of this article is to predict the topic popularity on the social network accurately. Indicator selection model for a new definition of topic popularity with degree of grey incidence (DGI) is undertook based on an improved analytic hierarchy process (AHP). Design/Methodology/Approach. Through screening the importance of indicators by the deep learning methods such as recurrent neural networks (RNNs), long short-term memory (LSTM), and gated recurrent unit (GRU), a selection model of topic popularity indicators based on AHP is set up. Findings. The results show that when topic popularity is being built quantitatively based on the DGI method and different weights of topic indicators are obtained from the help of AHP, the average accuracy of topic popularity prediction can reach 97.66%. The training speed is higher and the prediction precision is higher. Practical Implications. The method proposed in the paper can be used to calculate the popularity of each hot topic and generate the ranking list of topics’ popularities. Moreover, its future popularity can be predicted by deep learning methods. At the same time, a new application field of deep learning technology has been further discovered and verified. Originality/Value. This can lay a theoretical foundation for the formulation of topic popularity tendency prevention measures on the social network and provide an evaluation method which is consistent with the actual situation.

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Gong, Zhiqi. "Topic prominence in L2 acquisition." Journal of Second Language Studies 2, no. 1 (April 18, 2019): 140–64. http://dx.doi.org/10.1075/jsls.17016.gon.

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Abstract This study investigated the topic-prominent characteristics of the interlanguage development of native speakers of Chinese learning English as a foreign language (EFL). Two groups of Chinese EFL learners – an intermediate group and an advanced group – were recruited to complete two production tasks: a written Chinese-to-English translation task and an oral story-retelling task. The findings showed that Chinese EFL learners at each proficiency level transferred Chinese topic-prominent structures to their target language production at a varying degree. The topic-prominent constructions in the learners’ production, based on a hierarchy of difficulty, were placed on two slightly different Gradation Zones, one for written production and the other for oral production. Gradation Zones were a generalized reflection of how discourse and pragmatic relations in topic-prominent Chinese were gradually reanalyzed as syntactic relations with the development of learners’ English proficiency level. There was a tendency for topic-prominent features to decrease and subject-prominent features to increase as EFL learners’ proficiency level progressed. It was also argued that sources of these topic-prominent properties in interlanguage were an interaction of factors, including degree of markedness, perceptual saliency, second language (L2) input, and language production task type.

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Xu, Zheng, Shunxiang Zhang, Kim-Kwang Raymond Choo, Lin Mei, Xiao Wei, Xiangfeng Luo, Chuanping Hu, and Yunhuai Liu. "Hierarchy-Cutting Model Based Association Semantic for Analyzing Domain Topic on the Web." IEEE Transactions on Industrial Informatics 13, no. 4 (August 2017): 1941–50. http://dx.doi.org/10.1109/tii.2017.2647986.

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Park-Doob, Mischa. "Debunking 'Discourse Topic': Ideational Momentum and the Unpredictable Trajectory of Conversation." Annual Meeting of the Berkeley Linguistics Society 28, no. 1 (August 14, 2002): 225. http://dx.doi.org/10.3765/bls.v28i1.3839.

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There is a long-standing notion that in most instances of language use, the participants (whether speaking or writing) organize their production into coherent stretches identifiable as 'topics'. There is the further notion that these topics have easily definable beginnings and ends, allowing them to be labeled and strung together into a list or hierarchy which forms a useful schematic of what occurred during a given stretch of discourse.

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Allan, Keith. "Hierarchies and the choice of left conjuncts (with particular attention to English)." Journal of Linguistics 23, no. 1 (March 1987): 51–77. http://dx.doi.org/10.1017/s0022226700011038.

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Over the last decade or so, hierarchies such as the animacy hierarchy, the personal hierarchy, the case hierarchy, the definiticity and referentiality hierarchies and so forth have been identified as determinants of constituent order. It is my intention in this paper to review the set of hierarchies and rank them as determinants of NP sequencing in English. I shall from time to time compare and contrast the effect of a hierarchy in other languages with what we find in English; but it remains to be seen whether the ranking which obtains for English has a wider application: I make noa prioriclaim that it does. The hierarchies and families of hierarchies are ranked as follows, from the most powerful determinant to the least:(1) the familiarity hierarchy;(2) the topic < comment, given < new hierarchies;(3) the universal sequencing conventions;(4) the definiticity and referentiality hierarchies;(5) the personal, social status, and role hierarchies;(6) the dominant descriptor hierarchies;(7) the formal hierarchies.

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Madzík, Peter, and Lukáš Falát. "State-of-the-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modelling." PLOS ONE 17, no. 5 (May 27, 2022): e0268777. http://dx.doi.org/10.1371/journal.pone.0268777.

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Although there are several articles that have carried out a systematic literature review of the analytical hierarchy process (AHP), many of them work with a limited number of analyzed documents. This article presents a computer-aided systematic literature review of articles related to AHP. The objectives are: (i) to identify AHP usage and research impact in different subject areas; (ii) to identify trends in the popularity of the AHP from the first introduction of the method in 1980 to the present; (iii) to identify the most common topics related to AHP and topic development over time. We process 35,430 documents related to AHP, published between 1980 and 2021, retrieved from the Scopus database. We provide detailed statistics about research interest, research impact in particular subject areas over the analyzed time period. We use Latent Dirichlet Allocation (LDA) using Gibbs sampling to perform topic modeling based on the corpus of abstracts. We identify nine topics related to AHP: Ecology & Ecosystems; Multi-criteria decision-making; Production and performance management; Sustainable development; Computer network, optimization and algorithms; Service quality; Fuzzy logic; Systematic evaluation; Risk assessment. We also present the individual topics trends over time and point out the possible future direction of AHP.

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Liu, Zhe, Junying Xiang, Fangjing Luo, Xiaoli Hu, and Ping Luo. "The Study of Maslow’s Hierarchy of Needs Theory in the Doctor-Nurse Integration Teaching Method on Clinical Interns." Journal of Healthcare Engineering 2022 (April 18, 2022): 1–4. http://dx.doi.org/10.1155/2022/6388068.

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The student’s attitude towards the doctor-nurse integrated teaching model and Maslow’s hierarchy of needs theory is an important topic in clinical teaching. In this study, choosing 134 intern doctors and practice nurses who intern from January to December 2020. 67 students are selected as the control group, and the traditional interns teaching mode is adopted. 67 students are selected as the experimental group and Maslow’s hierarchy of needs theory to apply in the doctor-nurse integrated teaching mode. The results show that the doctor-nurse integrated teaching model are accepted by most students, and the application of Maslow’s hierarchy of needs theory in the clinical interns has advantages over the traditional model.

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Sajid, Naseer Ahmed, Munir Ahmad, Muhammad Tanvir Afzal, and Atta-ur-Rahman. "Exploiting Papers’ Reference’s Section for Multi-Label Computer Science Research Papers’ Classification." Journal of Information & Knowledge Management 20, no. 01 (March 2021): 2150004. http://dx.doi.org/10.1142/s0219649221500040.

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The profusion of documents production at an exponential rate over the web has made it difficult for the scientific community to retrieve most relevant information against the query. The research community is busy in proposing innovative mechanisms to ensure the document retrieval in a flexible manner. The document classification is a core concept of information retrieval that classifies the documents into predefined categories. In scientific domain, classification of documents to predefined category (ies) is an important research problem and supports number of tasks such as information retrieval, finding experts, recommender systems, etc. In Computer Science, the Association for Computing Machinery (ACM) categorization system is commonly used for organizing research papers in the topical hierarchy defined by the ACM. Accurately assigning a research paper to a predefined category (ACM topic) is a difficult task especially when the paper belongs to multiple topics. In this paper, we exploit the reference section of a research paper to predict the topics of the paper. We have proposed a framework called Category-Based Category Identification (CBCI) for multi-label research papers classification. The proposed approach extracted references from training dataset and grouped them in a Topic-Reference (TR) pair such as TR {Topic, Reference}. The references of the focused paper are parsed and compared in the pair TR {Topic, Reference}. The approach collects the corresponding list of topics matched with the references in the said pair. We have evaluated our technique for two datasets that is Journal of Universal Computer Science (JUCS) and ACM. The proposed approach is able to predict the first node in the ACM topic (topic A to K) with 74% accuracy for both JUCS and ACM dataset for multi-label classification.

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Subramaniyaswamy, V. "Automatic Topic Ontology Construction Using Semantic Relations from WordNet and Wikipedia." International Journal of Intelligent Information Technologies 9, no. 3 (July 2013): 61–89. http://dx.doi.org/10.4018/jiit.2013070104.

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Due to the explosive growth of web technology, a huge amount of information is available as web resources over the Internet. Therefore, in order to access the relevant content from the web resources effectively, considerable attention is paid on the semantic web for efficient knowledge sharing and interoperability. Topic ontology is a hierarchy of a set of topics that are interconnected using semantic relations, which is being increasingly used in the web mining techniques. Reviews of the past research reveal that semiautomatic ontology is not capable of handling high usage. This shortcoming prompted the authors to develop an automatic topic ontology construction process. However, in the past many attempts have been made by other researchers to utilize the automatic construction of ontology, which turned out to be challenging due to time, cost and maintenance. In this paper, the authors have proposed a corpus based novel approach to enrich the set of categories in the ODP by automatically identifying the concepts and their associated semantic relationship with corpus based external knowledge resources, such as Wikipedia and WordNet. This topic ontology construction approach relies on concept acquisition and semantic relation extraction. A Jena API framework has been developed to organize the set of extracted semantic concepts, while Protégé provides the platform to visualize the automatically constructed topic ontology. To evaluate the performance, web documents were classified using SVM classifier based on ODP and topic ontology. The topic ontology based classification produced better accuracy than ODP.

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Pinto, Ricardo A. M., Flavia Bernardini, and Ricardo M. Marcacini. "PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings." International Journal of Business Intelligence and Data Mining 18, no. 3 (2021): 364. http://dx.doi.org/10.1504/ijbidm.2021.114469.

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Bernardini, Flavia, Ricardo A. M. Pinto, and Ricardo M. Marcacini. "PPM-HC: a Method for Helping Project Portfolio Management Based on Topic Hierarchy Learning." International Journal of Business Intelligence and Data Mining 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijbidm.2019.10018936.

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Wang, Ping, Xingdong Deng, Yang Liu, Liang Guo, Jun Zhu, Lin Fu, Yakun Xie, Weilian Li, and Jianbo Lai. "A Knowledge Discovery Method for Landslide Monitoring Based on K-Core Decomposition and the Louvain Algorithm." ISPRS International Journal of Geo-Information 11, no. 4 (March 22, 2022): 217. http://dx.doi.org/10.3390/ijgi11040217.

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Landslide monitoring plays an important role in predicting, forecasting and preventing landslides. Quantitative explorations at the subject level and fine-scale knowledge in landslide monitoring research can be used to provide information and references for landslide monitoring status analysis and disaster management. In the context of the large amount of network information, it is difficult to clearly determine and display the domain topic hierarchy and knowledge structure. This paper proposes a landslide monitoring knowledge discovery method that combines K-core decomposition and Louvain algorithms. In this method, author keywords are used as nodes to construct a weighted co-occurrence network, and a pruning standard value is defined as K. The K-core approach is used to decompose the network into subgraphs. Combined with the unsupervised Louvain algorithm, subgraphs are divided into different topic communities by setting a modularity change threshold, which is used to establish a topic hierarchy and identify fine-scale knowledge related to landslide monitoring. Based on the Web of Science, a comparative experiment involving the above method and a high-frequency keyword subgraph method for landslide monitoring knowledge discovery is performed. The results show that the run time of the proposed method is significantly less than that of the traditional method.

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Kilgo, Danielle K., and Summer Harlow. "Protests, Media Coverage, and a Hierarchy of Social Struggle." International Journal of Press/Politics 24, no. 4 (June 19, 2019): 508–30. http://dx.doi.org/10.1177/1940161219853517.

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News coverage is fundamental to a protest’s viability, but research suggests media negatively portray protests and protesters that challenge the status quo (a pattern known as the protest paradigm). This study questions the validity of those claims within the context of digital newspaper coverage, interrogating how topic and region shape coverage. Using a content analysis of coverage from sixteen newspapers in various U.S. market types and regions, this research examines framing and sourcing features in articles about protests. Results suggest media coverage of protests centered on racial issues (discrimination of Indigenous people and anti-Black racism) follows more of a delegitimizing pattern than stories about protests related to immigrants’ rights, health, and environment. A model to understand news coverage of protest based on a hierarchy of social struggle is proposed.

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Rojas, Ronald R. "Interpersonal Dynamics in Business Disciplines: Formulating a Hierarchy of Relational Motives." Interpersona: An International Journal on Personal Relationships 9, no. 1 (June 30, 2015): 114–26. http://dx.doi.org/10.5964/ijpr.v9i1.185.

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This article analyzes the topic of relational motives within the business disciplines and represents one attempt in responding to criticisms of a lacking framework capable of providing wider and more coherent understandings of relational typologies. By means of a review of the management and leadership literature and using a utility-by-motives clustering, six relational motives are identified and ordered hierarchically using a paired comparison methodology. The value of this approach for scholars and practitioners is explored and specific areas of further research are suggested.

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Biriukov, Dmitry. "“The Ascent of Nature from the Lower to the Perfect”." Scrinium 11, no. 1 (November 16, 2015): 197–217. http://dx.doi.org/10.1163/18177565-00111p18.

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It is suggested that for building his hierarchy of beings Gregory of Nyssa followed two strategies: the strategy of dividing genera and species with the entire “existing” as the summit of' the hierarchy, and the strategy of taking the uncreated nature to be the summit of the hierarchy. The evolutionary ascent of natural species and the related topic of the hierarchical taxonomy of being in Gregory of Nyssa’s De opificio hominis 8 are examined. It is argued, against K. Reinhardt, G. Ladner, and a number of other scholars, that the influence of Posidonius on this topic in Gregory is not sufficiently well-founded. A brief overview of the taxonomies elaborated by several philosophers of Antiquity is provided. The general conclusion is that the Tree of Porphyry had a direct impact on the classification of beings in Gregory. Alongside this, Gregory seems to manifest Aristotelian, Platonic, and, particularly, Stoic trends. In contrast to previous studies which have only pointed to the similarity between Gregory and Porphyry’s systems without sufficient reasoning on details of it, it is investigated in what sense the similarity is, and it is shown that there are also some significant differences between their ordering of different levels. A suggestion is made as to why Gregory altered the order of hierarchical levels in comparison to that of Porphyry.

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Nursari, Sri Rezeki Candra, and Virgie Sciorra. "Decision Support System for Final Assignment with Analytical Hierarchy Process (AHP) Method. Case Study: Informatics Engineering Faculty of Engineering, Pancasila University." bit-Tech 1, no. 1 (September 18, 2018): 19–25. http://dx.doi.org/10.32877/bt.v1i1.7.

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In human life always faced with several choices. The right decision making will affect our lives in the future. In the bachelor degree program education Final Project is the closing course to get a Bachelor's degree. Many things need to be considered in determining the appropriate TA topic. Many people have a view, choose the topic of Final Assignment that is easy so easy, regardless of suitability with interests and talents. Actually this view needs to be reviewed because choosing the topic of Final Assignment has a significant impact on the lives of these students in the future. To determine the topic of Final Assignment in the Informatics Engineering Faculty of Engineering, the Pancasila University required mastering criteria, mastering memorization, mastering the count, mastering the design, value, and areas of interest. And has an alternative, namely Information Systems, Decision Support Systems using methods, Intelligent Systems/Expert Systems, Networks, Mobile Programming (Games), Mobile Programming (Applications), Use of Algorithms in Support Systems / Applications of this Decree using Analytic Hierarchy Process method for determine the exact topic of Final Assignment according to the ability of students. The AHP method refers to taking selected elective courses

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Mercuri, Mathew, and Hakob Barseghyan. "Method Hierarchies in Clinical Epidemiology." Scientonomy: Journal for the Science of Science 3 (December 24, 2019): 45–61. http://dx.doi.org/10.33137/js.v3i0.33559.

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Accumulating evidence from diverse fields of inquiry suggests the existence of method hierarchies, where criteria employed by the same epistemic agent constitute a certain preference hierarchy. In this paper, we illustrate the phenomenon of method hierarchy by discussing several prominent studies in clinical epidemiology of coronary artery disease. The current “gold standard” in clinical epidemiology is the randomized controlled trial (RCT) method. Yet, in the absence of studies that satisfy the strict requirement of the RCT method, clinical epidemiologists often relax the requirements of double-blinding, complete follow-up, no treatment switching, and/or randomization. Instead, they sometimes employ less stringent requirements, such as the requirement to account for the potential imbalances between groups through statistical models. This suggests the existence of a certain method hierarchy. However, it is unclear how method hierarchies are to be conceptualized and documented. Specifically, it remains to be seen whether a method hierarchy is best understood as being composed of individual employed methods or as a single composite method with a complex system of if-s and else-s. Suggested Modifications [Sciento-2019-0013]: Accept the existence of method hierarchies. Accept the following definition of method hierarchy: Method Hierarchy ≡ a set of methods is said to constitute a hierarchy iff theories that satisfy the requirements of methods that are higher in the hierarchy are preferred to theories that satisfy the requirements of methods that are lower in the hierarchy. Accept the following question as a legitimate topic of scientonomic inquiry: Conceptualizing Method Hierarchies: should we conceive of a method hierarchy as being composed of individual employed methods/requirements, or should we think of it as constituting one composite method with a system of if-s and else-s, and-s and or-s?

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Liang, H. J., H. Wang, T. J. Cui, and J. F. Guo. "EXPRESSION AND ORGANIZATION OF GEOGRAPHIC SPATIAL RELATIONS BASED ON TOPIC MAPS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 14, 2017): 1257–61. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-1257-2017.

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Spatial Relation is one of the important components of Geographical Information Science and Spatial Database. There have been lots of researches on Spatial Relation and many different spatial relations have been proposed. The relationships among these spatial relations such as hierarchy and so on are complex and this brings some difficulties to the applications and teaching of these spatial relations. This paper summaries some common spatial relations, extracts the topic types, association types, resource types of these spatial relations using the technology of Topic Maps, and builds many different relationships among these spatial relations. Finally, this paper utilizes Java and Ontopia to build a topic map among these common spatial relations, forms a complex knowledge network of spatial relations, and realizes the effective management and retrieval of spatial relations.

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Alvarez, Pavel, Manuel Muñoz-Palma, Luz Eva Miranda-Espinoza, Pavel Lopez-Parra, and Ernesto León-Castro. "Multiple criteria hierarchy approach for analyzing competitiveness of States in Mexico." Inquietud Empresarial 20, no. 2 (December 1, 2020): 29–51. http://dx.doi.org/10.19053/01211048.11408.

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Competitiveness is related to welfare, economic progress and prosperity and has been an important topic for countries, enterprises, investors and citizens alike. This paper presents a new Multiple Criteria Hierarchy Process (MCHP) for rank the competitiveness of States in Mexico through the analysis of multiple criteria such as legality, economic, social, politic, governmental and environmental, precursors and international relations aspects. An important aspect of the new MCHP proposed is that considers the interaction between criteria and measure the performance of a large number of criteria. The study presents a competitiveness analysis of Mexican regions, regarding the interaction in different level of criteria hierarchy and evaluating the performance of 100 criteria to establish the competitiveness level of States in Mexico. Keywords: Multicriteria, hierarchy approach, competitiveness JEL Codes: C69, C81, D81 Received: 10/07/2020. Accepted: 05/11/2020. Published: 01/12/2020

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Prihatini, P. M., I. K. G. D. Putra, I. A. D. Giriantari, and M. Sudarma. "Complete agglomerative hierarchy document’s clustering based on fuzzy luhn’s gibbs latent dirichlet allocation." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (June 1, 2019): 2103. http://dx.doi.org/10.11591/ijece.v9i3.pp2103-2111.

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Agglomerative hierarchical is a bottom up clustering method, where the distances between documents can be retrieved by extracting feature values using a topic-based latent dirichlet allocation method. To reduce the number of features, term selection can be done using Luhn’s Idea. Those methods can be used to build the better clusters for document. But, there is less research discusses it. Therefore, in this research, the term weighting calculation uses Luhn’s Idea to select the terms by defining upper and lower cut-off, and then extracts the feature of terms using gibbs sampling latent dirichlet allocation combined with term frequency and fuzzy Sugeno method. The feature values used to be the distance between documents, and clustered with single, complete and average link algorithm. The evaluations show the feature extraction with and without lower cut-off have less difference. But, the topic determination of each term based on term frequency and fuzzy Sugeno method is better than Tsukamoto method in finding more relevant documents. The used of lower cut-off and fuzzy Sugeno gibbs latent dirichlet allocation for complete agglomerative hierarchical clustering have consistent metric values. This clustering method suggested as a better method in clustering documents that is more relevant to its gold standard.

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Hou, Xue Mei, Lei Yu, Zhi Bo Li, Zhu Ping Du, and Bai You Lian. "Method of Parallel System Performance Evaluation Based on Multi-Level Fuzzy Synthetic Evaluation Model." Advanced Materials Research 301-303 (July 2011): 1202–7. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.1202.

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Nowadays, the parallel system performance evaluation is the hot spot topic. It’s helpful to improve the parallel system performance to establish a scientific evaluation model. In this paper, using of analytic hierarchy process and the fuzzy mathematics theory, the multi-level fuzzy synthetic evaluation model is established, the performance index system is defined and the parallel system performance evaluation process is realized.

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WTE and JHR. "The Dance of Justice." European Constitutional Law Review 9, no. 1 (February 2013): 1–6. http://dx.doi.org/10.1017/s1574019612001010.

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Time appears in the development of law in several capacities. One of its powers is to provide relief for courts gridlocked in contradictory claims of hierarchy. That is the topic of this editorial. A showcase is provided by the Melki saga, as it recently unfolded in a rich and rushed contention between the French courts and the Court of Justice of the European Union.

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Mattern, Janice Bially, and Ayşe Zarakol. "Hierarchies in World Politics." International Organization 70, no. 3 (2016): 623–54. http://dx.doi.org/10.1017/s0020818316000126.

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AbstractHierarchy-centered approaches to IR promise to deliver what anarchy-centered approaches have not: a framework for theorizing and empirically analyzing world politics as a global system rather than just an international one. At the core of this proposition are three features of hierarchical systems as they are represented across the growing IR literature on the topic. First, the structures of differentiation at the core of hierarchical systems are deeply implicated with power. Hierarchical systems are thus intrinsically political. Second, in world politics, hierarchies stratify, rank, and organize the relations not only among states but also other kinds of actors as well, and often even a mix of different actors within a single structure of differentiation. Third, there are many different kinds of hierarchical relations in world politics, each of which generate different “logics” influencing social, moral, and behavioral outcomes. Hierarchy has been understood in the IR literature in two ways: narrowly, as a relationship of legitimate authority; and broadly, as intersubjective manifestations of organized inequality. Hierarchy operates in a variety of different ways that range from ordering solutions to deep structures. We identify three such “logics” that have been fruitfully explored in IR scholarship and that can form the basis of a future research agenda: hierarchy as an institutionalized functional bargain between actors (a logic of trade-offs); hierarchy as differentiated social and political roles shaping behavior (a logic of positionality); and hierarchy as a productive political space or structure (a logic of productivity).

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Wan, Stephen, and Cecile Paris. "Understanding Public Emotional Reactions on Twitter." Proceedings of the International AAAI Conference on Web and Social Media 9, no. 1 (August 3, 2021): 715–16. http://dx.doi.org/10.1609/icwsm.v9i1.14579.

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Social media has become an important communication medium for people to express their feelings and opinions, sometimes on a daily basis. We demonstrate a system that helps monitor and understand how people feel about specific topics or events. Using a large vocabulary of emotion words constructed from a number of public domain resources and mapping them to an emotion hierarchy, our system is able to analyse incoming posts gathered on a topic of interest and visualise the emotional pulse of a geographical region as it reacts to that event. The content analysis component of the tool then enables users to gain insights into the mood variations exhibited. We illustrate the system by exploring the public reaction to a specific recent event: the Sydney siege tragedy on December 15th, 2014.

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Liu, Zulan, Jiaxuan Wang, Qian Zhang, Zheng Li, Zhi Li, Lan Cheng, and Fangyin Dai. "Electrospinning Silk Fibroin/Graphene Nanofiber Membrane Used for 3D Wearable Pressure Sensor." Polymers 14, no. 18 (September 16, 2022): 3875. http://dx.doi.org/10.3390/polym14183875.

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With the improvement of science and technology, flexible sensors have become a hot research topic. Flexible sensors have broad application in human health detection and motion detection and other fields. In this paper, the silk fibroin/graphene nanofiber membranes were prepared by double needle electrospinning. In addition, the high sensitivity of the three-dimensional composite hierarchy was obtained by superimposing a monolayer silk fibroin/graphene nanofiber membrane, which was prepared via double needle electrospinning. In addition, the three-dimensional hierarchy was encapsulated by polydimethylsiloxane to prepare a pressure sensor. The sensitivity of the pressure sensor can achieve 7.7 Pa−1. In addition, this pressure sensor has excellent durability (>2000 cycles) and shorter response times (490 ms), which has broad research prospects in human health detection and motion detection.

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Journal articles on the topic 'Topic hierarchy'

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