Relevant bibliographies by topics / Topic hierarchy

Academic literature on the topic 'Topic hierarchy'

Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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Journal articles on the topic "Topic hierarchy"

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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Dissertations / Theses on the topic "Topic hierarchy"

Knoll, Jonathan Corey. "PROLONGATION, EXPANDING VARIATION, AND PITCH HIERARCHY: A STUDY OF FRED LERDAHL'S WAVES AND COFFIN HOLLOW." Bowling Green State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1162851214.

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Skwarcan-Bidakowski, Alexander. "Exotic Decays of a Vector-liketop Partner at the LHC." Thesis, Uppsala universitet, Högenergifysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392988.

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An evaluation of how sensitive some ATLAS searches for new physics are to a new beyond standard model (BSM) vector-like quark (VLQ) and a pseudo Nambu-Goldstone boson (pNGB) scalar. This was done by simulating a signal containing these new particles and making a recast of it onto existing verified ATLAS searches for new physics at center-of-mass (CM) energy of 13 TeV (Run 2) at the Large Hadron Collider (LHC). Signals for recasting were tailored such that their final states would be appropriate in relation to each respective ATLAS search in order to use the same selection criteria as applied in the existing searches. The results are summarized in the form of significances (Z) for each masspoint of the new top-partner and S particle. Significances did not show any expectiation of excluding any masspoint in the examined mass range for the recasts at 95% CL. This suggests that a dedicated search for these particles in the considered masspoints would be required.

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Fan, Tiffany, and 范瓊文. "Topic Concept-Hierarchy Model:Concept-Based Search." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/15936346605349514248.

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碩士
國立中央大學
網路學習科技研究所
93
In viewpoint of the academic, Information Retrieval method is used to facilitate content search in a library environment. In a library, librarian needs to establish description information of digital content or physical content before stored. The description information will stored into repository including title, authors, published date, publisher, abstract, category, terms and the contents. Therefore, retrieval process is implemented based on comparison between user’s query and repository. In general, keyword matching is a common approach in information retrieval research. However, this approach can not always brings a lot of all relevant information. The main reason cause this result is that people may use different words to access a specified information. Therefore, the recall performance of keyword-match is poor. In our study, we proposed Topic/ Domain Concept-Hierarchy Model to transform domain knowledge into hierarchical category in a domain hierarchy. Each category is a concept node and has corresponding content set. The represented keyword of node is extracted from content set. The matching is executed in the domain hierarchy to compute the similarity between user’s query and keywords in domain hierarchy. If matched, it means user intend to browse corresponding content set. The Node is call relevant conceptual node (RCN) and its bellow nodes are relevant conceptual sub-node (RCS). Experiment result shows the proposed Topic/ Domain Concept-Hierarchy Model can be applied to information retrieval effectively. The recall and precision has been significantly improved comparison with traditional method. The responded result is ranked followed the correlation in domain hierarchy. In this way, users can retrieval suitable material in a short time.

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"Website summarization: a topic hierarchy based approach." 2006. http://library.cuhk.edu.hk/record=b5893077.

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Liu Nan.
Thesis (M.Phil.)--Chinese University of Hong Kong, 2006.
Includes bibliographical references (leaves 84-88).
Abstracts in English and Chinese.
Abstract --- p.1
Acknowledgements --- p.3
Contents --- p.4
List of Figures --- p.6
List of Tables --- p.7
Chapter Chapter 1 --- Introduction --- p.8
Chapter Chapter 2 --- Related Work --- p.12
Chapter 2.1 --- Web Structure Mining --- p.12
Chapter 2.1.1 --- HITS Algorithm --- p.13
Chapter 2.1.2 --- PageRank Algorithm --- p.13
Chapter 2.2 --- Website Mining --- p.14
Chapter 2.2.1 --- Website Classification --- p.14
Chapter 2.2.2 --- Web Unit Mining --- p.16
Chapter 2.2.3 --- Logical Domain Extraction --- p.16
Chapter 2.2.4 --- Web Thesaurus Construction --- p.17
Chapter Chapter 3 --- Website Topic Hierarchy Generation --- p.19
Chapter 3.1 --- Problem Definition --- p.19
Chapter 3.2 --- Graph Based Algorithms --- p.21
Chapter 3.2.1 --- Breadth First Search --- p.21
Chapter 3.2.2 --- Shortest Path Search --- p.23
Chapter 3.2.3 --- Minimum Directed Spanning Tree --- p.24
Chapter 3.2.4 --- Discussion --- p.27
Chapter 3.3 --- Edge Weight Function --- p.28
Chapter 3.3.1 --- Relevance Method --- p.29
Chapter 3.3.2 --- Machine Learning Method --- p.32
Chapter 3.4 --- Experiments --- p.47
Chapter 3.4.1 --- Data Preparation --- p.47
Chapter 3.4.2 --- Performances of Breadth-first Search --- p.50
Chapter 3.4.3 --- Performances of Shortest-path Search --- p.50
Chapter 3.4.4 --- Performances of Directed Minimum Spanning Tree --- p.54
Chapter 3.4.5 --- Comparison of Different Algorithms --- p.55
Chapter Chapter 4 --- Website Summarization Through Keyphrase Extraction --- p.58
Chapter 4.1 --- Introduction --- p.58
Chapter 4.2 --- Background --- p.60
Chapter 4.3 --- Keyphrase Extraction --- p.69
Chapter 4.3.1 --- Candidate Phrases Idenfication --- p.69
Chapter 4.3.2 --- Feature Calculation without Topic Hierarchy --- p.70
Chapter 4.3.3 --- Feature Calculation with Topic Hierarchy --- p.72
Chapter 4.3.4 --- Extraction of Keyphrases --- p.75
Chapter 4.4 --- Experiments --- p.76
Chapter Chapter 5 --- Conclusion and Future Work --- p.82
References: --- p.84

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Chen, Leng-chin, and 陳泠謹. "Applying Feature Extraction Technique to Build Topic Hierarchy Model for News Topic Chronicle." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/62559068987940080161.

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碩士
國立雲林科技大學
資訊管理系碩士班
95
The news reports have become an important way to acquire knowledge. In order to solve multiple topics problem, this study proposed a feature extraction technique to automatically construct a topic hierarchy. The fundamental idea of this technique is to extract a set of common features from the event clusters for topics. In addition, this study proposed a novel presentation of news information which is named Topic Chronicle. We employed the multi-document summarization technique to generate Topic Chronicle and provided person-oriented and event-oriented aspects of topic hierarchy for readers that they could choose a suitable topic according to their need. The information quality experiment showed that the average F-measure of person-oriented topic is 0.78 and the average F-measure of event-oriented topic is 0.53. The system quality experiment suggested that more than 70% of participants agreed that the quality of Topic Chronicle System is satisfactory. Topic Chronicle could expound the connotation of topic development to help readers understand the overall scenario.

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Chang, Chi-Feng, and 張啟峰. "Design and Evaluation of Algorithms for Topic Hierarchy Integration." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/02471981001283162993.

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碩士
國立中正大學
資訊工程研究所
90
In this thesis, we study the problem of integrating documents from different sources into a comprehensive topic hierarchy. Our objective is to develop efficient techniques that improve the accuracy of traditional categorization methods by incorporating categorization information provided by data sources into categorization process. Notice that in the World-Wide Web, categorization information is often available from information sources. For example, news from newspapers, books from publishers, items from electronic commercial sites, or even web pages archived by web information portals are categorized. Observe that many of the topic hierarchies adopted by current information sources are highly related. We believe that categorization information can be used to improve classification accuracy. We present several techniques that explore relations between topic hierarchies and incorporate categorization information from source hierarchies into traditional classification methods such as Baysian methods and support vector machines. Experiment on collections from Openfind and Yam, and Google and Yahoo, well-known popular web sites in Taiwan and USA, respectively, shows that incorporating categorization information from source hierarchies can significantly improve the classification accuracy.

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Chou, Li-Ling, and 周麗玲. "Topic Hierarchy Generation Based on Anchor Text and Term-correlation." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/65841329574921528897.

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碩士
國立臺灣科技大學
資訊工程系
93
As Internet booms prosperously, there is various information available for user to obtain, such as new technique information and course contents for instance. It has become an important task to provide "Topic Directory Query" Service in order to help users understanding relevant subtopics of their interested techniques within a short period of time. In this thesis, we propose an approach that utilizes Anchor Text and Term-correlation technique to construct and generate topic hierarchy, in order to facilitate users search effectively and efficiently the scope of their interested topics that differs from manually constructed topic hierarchy, such as Open Directory Project or Yahoo Web Directory for instance. In our experiment analysis results, our proposed approach was proved to be effective in searching relevant hierarchical subtopics, especially those topics that cannot be found from manually constructed topic directory search engine mentioned previously but can be found in our system. Therefore, with regard to "Topic Directory Query" Service, there are still many issues need to be resolved, such as precision rate enhancement and new topic detection. However, we still hope that learning new techniques for everyone will never be a troublesome problem. Furthermore, by promoting the concept of topic hierarchy generation, we hope the issues mentioned previously can be researched continuously.

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(14030507), Deepani B. Guruge. "Effective document clustering system for search engines." Thesis, 2008. https://figshare.com/articles/thesis/Effective_document_clustering_system_for_search_engines/21433218.

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People use web search engines to fill a wide variety of navigational, informational and transactional needs. However, current major search engines on the web retrieve a large number of documents of which only a small fraction are relevant to the user query. The user then has to manually search for relevant documents by traversing a topic hierarchy, into which a collection is categorised. As more information becomes available, it becomes a time consuming task to search for required relevant information.

This research develops an effective tool, the web document clustering (WDC) system, to cluster, and then rank, the output data obtained from queries submitted to a search engine, into three pre-defined fuzzy clusters. Namely closely related, related and not related. Documents in closely related and related documents are ranked based on their context.

The WDC output has been compared against document clustering results from the Google, Vivisimo and Dogpile systems as these where considered the best at the fourth Search Engine Awards [24]. Test data was from standard document sets, such as the TREC-8 [118] data files and the Iris database [38], or 3 from test text retrieval tasks, "Latex", "Genetic Algorithms" and "Evolutionary Algorithms". Our proposed system had as good as, or better results, than that obtained by these other systems. We have shown that the proposed system can effectively and efficiently locate closely related, related and not related, documents among the retrieved document set for queries submitted to a search engine.

We developed a methodology to supply the user with a list of keywords filtered from the initial search result set to further refine the search. Again we tested our clustering results against the Google, Vivisimo and Dogpile systems. In all cases we have found that our WDC performs as well as, or better than these systems.

The contributions of this research are:

A post-retrieval fuzzy document clustering algorithm that groups documents into closely related, related and not related clusters. This algorithm uses modified fuzzy c-means (FCM) algorithm to cluter documents into predefined intelligent fuzzy clusters and this approach has not been used before.
The fuzzy WDC system satisfies the user's information need as far as possible by allowing the user to reformulate the initial query. The system prepares an initial word list by selecting a few characteristics terms of high frequency from the first twenty documents in the initial search engine output. The user is then able to use these terms to input a secondary query. The WDC system then creates a second word list, or the context of the user query (COQ), from the closely related documents to provide training data to refine the search. Documents containing words with high frequency from the training list, based on a pre-defined threshold value, are then presented to the user to refine the search by reformulating the query. In this way the context of the user query is built, enabling the user to learn from the keyword list. This approach is not available in current search engine technology.
A number of modifications were made to the FCM algorithm to improve its performance in web document clustering. A factor sw_kq is introduced into the membership function as a measure of the amount of overlaping between the components of the feature vector and the cluster prototype. As the FCM algorithm is greatly affected by the values used to initialise the components of cluster prototypes a machine learning approach, using an Evolutionary Algorithm, was used to resolve the initialisation problem.
Experimental results indicate that the WDC system outperformed Google, Dogpile and the Vivisimo search engines. The post-retrieval fuzzy web document clustering algorithm designed in this research improves the precision of web searches and it also contributes to the knowledge of document retrieval using fuzzy logic.
A relational data model was used to automatically store data output from the search engine off-line. This takes the processing of data of the Internet off-line, saving resources and making better use of the local CPU.
This algorithm uses Latent Semantic Indexing (LSI) to rank documents in the closely related and related clusters. Using LSI to rank document is wellknown, however, we are the first to apply it in the context of ranking closely related documents by using COQ to form the term x document matrix in LSI, to obtain better ranking results.
Adjustments based on document size are proposed for dealing with problems associated with varying document size in the retrieved documents and the effect this has on cluster analysis.

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Books on the topic "Topic hierarchy"

De Zordo, Ornella, and Fiorenzo Fantaccini, eds. altri canoni / canoni altri. Florence: Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6453-012-3.

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The concept of the literary canon is one of the most debated and controversial in the western intellectual tradition. This book offers ten contributions by Italian scholars of Anglo-American culture addressing the way in which the concept of the literary canon holds out against areas traditionally considered as external or extraneous to it. The essays range over different topics: the etymological analysis of the term "canon"; the relations between canon and performativity; paraliterature – a universe populated by non-hierarchic genres; the relations between post-colonial literature and the canon; postmodern biofiction; studies on translation and finally gay and lesbian literature. The book ends with a meditation on the innovations wrought on the Anglo-American canon by the virtual world of Internet and with a reading proposal originating from a different area of literary studies. Taken as a whole, the intention of the book is to pave the way to democratisation and pluralism in literary studies, going beyond the limitations set by the traditional scale of values of the "western canon". It proposes a frequentation of the geographical and cultural borderlines and hence of the areas of resistance that such borderlines pose to the dominant conceptual hierarchies within and around us, enabling us to glimpse an original future for literature and for western culture in a broader sense.

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Kalaichelvi, Dr K., and Sowmya K. A HANDBOOK OF E-BUSINESS AND E-COMMERCE. KAAV PUBLICATIONS, DELHI, 2022. http://dx.doi.org/10.52458/9789391842192.2022.tb.

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This book is intended to define the nature and scope of e-business and e- commerce technologies, along with a brief history of their development and implementation. This Book introduces students to how e-business and e-commerce technology can be applied to enterprises. This topic examines organizational aspects of e-business implementation to reflect the likely nature of future challenges and opportunities. The purpose of this book is to teach readers how to use information and communication technology in business to compete in global markets, find new customers, and retain existing customers at minimal cost. After reading e-business and e-commerce books, readers will understand the basic definition and knowledge hierarchy of e-business, and will understand the relevant operational processes, marketing techniques, and technical issues of e-business systems. This book provides an overview of e-business and e-commerce and related topics. It covers many other topics in e-business, such as basic knowledge of e-business and related information technology, e-business models, e-payments, e-stock, supply chain management, etc. Additionally, for business use, this book also provides an understanding of business unbundling, an ontology of e-business models, and actual e-business implementation.

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Meeker, John D. Occupational and Environmental Hygiene. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190662677.003.0008.

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This chapter covers occupational and environmental hygiene principles and their application. This information is vital to understanding and preventing hazardous exposures and associated adverse health effects, among workers and the general population. The chapter addresses anticipation, recognition, evaluation, and control of hazards, including toxic materials, noise, ionizing and non-ionizing radiation, air pollution, water contamination, and related topics. Illustrative examples of these topics are described, such as common industrial processes that may result in exposure to hazardous agents, important exposure pathways, strategies to characterize exposure, the hierarchy of exposure control strategies, and known sources of environmental contaminants of concern. The chapter also includes lists of resources that provide additional information on relevant topics of interest.

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Irving, John. Performing Topics in Mozart’s Chamber Music with Piano. Edited by Danuta Mirka. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199841578.013.0021.

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This chapter discusses ways in which an awareness of topics might influence performance behaviors. It contrasts topics as understood respectively by Aristotle (abstract concepts) and Vico (potential for action). Through case studies taken from Mozart’s chamber music with piano (specifically in a “period-instrument” context), it investigates subtle interactions between different dance topics (sarabande, gavotte, bourrée), which emerge only through careful consideration of notational features such as beat hierarchy and other aspects of historically informed performance practice hinted at in the notation. Awareness of these interactions, and recognition of their invitations to engage in certain performance gestures, offers the potential to create performance narratives that counterpoint the formal design mapped out in the notated score.

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Sher, George. Me, You, Us. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190660413.001.0001.

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Me, You, Us is a collection of essays that explore the tension between the privacy of our experience and the social nature of our public lives. The book’s chapters address a diverse array of topics in moral and political philosophy but are unified by their strongly individualistic perspective and approach. Although the chapters acknowledge the profound importance of our relations to others, they treat these relations as normatively less basic than the fact that each of us occupies a subjectivity that no one else can enter and in the absence of which nothing that happened to us would matter. The several topics discussed from this perspective include, among others, the nature and basis of our moral standing, the social and communicative aspects of blame, the rationality of acting on judgments that equally smart and well-informed people do not share, and the importance of avoiding hierarchy and domination in our political arrangements.

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Epstein, Lee, and Jack Knight. The Economic Analysis of Judicial Behavior. Edited by Lee Epstein and Stefanie A. Lindquist. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199579891.013.24.

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In the analysis of judicial behavior, “economics” has multiple meanings. Some studies emphasize the economic consequences of judicial decisions while others employ the concepts and tools of economic analysis to explain those decisions. Here we focus on studies proceeding from the assumption of rationality (regardless of their methodological approach). Even with this limited focus, the range of substantive topics is impressive. There are many ways to splice and dice them but six stand out: (1) the judge: motivations, careers and performance; (2) selection and retention of judges; (3) opinions and precedent; (4) collegial courts; (5) the hierarchy of justice; and (6) external actors. For each we synthesize the literature and offer directions for future work.

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Craig, Paul, and Gráinne de Búrca. EU Law. Oxford University Press, 2020. http://dx.doi.org/10.1093/he/9780198856641.001.0001.

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All books in this flagship series contain carefully selected substantial extracts from key cases, legislation, and academic debate, providing students with a stand-alone resource. The seventh edition of EU Law: Text, Cases, and Materials provides clear analysis of all aspects of European law in the post Lisbon era. This edition looks in detail at the way in which the provisions of the Lisbon Treaty have worked since the Treaty became operational, especially innovations such as the hierarchy of norms, the different types of competence, and the legally binding Charter of Rights. The coming into effect of the new Treaty was overshadowed by the financial crisis, which has occupied a considerable part of the EU’s time since 2009. The EU has also had to cope with the refugee crisis, the pandemic crisis, the rule of law crisis and the Brexit crisis. There has nonetheless been considerable legislative activity in other areas, and the EU courts have given important decisions across the spectrum of EU law. The seventh edition has incorporated the changes in all these areas. The book covers all topics relating to the institutional and constitutional dimensions of the EU. In relation to EU substantive law there is detailed treatment of the four freedoms, the single market, competition, equal treatment, citizenship, state aid, and the area of freedom, security and justice. Brexit is the rationale for the decision to have a separate UK version of the book. There is no difference in the chapters between the two versions, insofar as the explication of the EU law is concerned. The difference resides in the fact that in the UK version there is an extra short section at the end of each chapter explaining how, for example, direct effect, supremacy or free movement are relevant in post-Brexit UK. Law students in the UK need to know this, law students in the EU and elsewhere do not.

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Craig, Paul, and Gráinne de Búrca. EU Law. Oxford University Press, 2020. http://dx.doi.org/10.1093/he/9780198859840.001.0001.

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Book chapters on the topic "Topic hierarchy"

Tiun, Sabrina, Rosni Abdullah, and Tang Enya Kong. "Automatic Topic Identification Using Ontology Hierarchy." In Computational Linguistics and Intelligent Text Processing, 444–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44686-9_43.

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Zhu, Jiahui, Xuhui Li, Min Peng, Jiajia Huang, Tieyun Qian, Jimin Huang, Jiping Liu, Ri Hong, and Pinglan Liu. "Coherent Topic Hierarchy: A Strategy for Topic Evolutionary Analysis on Microblog Feeds." In Web-Age Information Management, 70–82. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21042-1_6.

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Gelbukh, Alexander, Grigori Sidorov, and Adolfo Guzman-Arénas. "Use of a Weighted Topic Hierarchy for Document Classification." In Text, Speech and Dialogue, 133–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48239-3_24.

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Butler, Alastair, Chidori Nakamura, and Kei Yoshimoto. "Topic/Subject Coreference in the Hierarchy of Japanese Complex Sentences." In New Frontiers in Artificial Intelligence, 119–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00609-8_12.

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Clinton, David. "Topic 104: Devices, Linux Filesystems, and the Filesystem Hierarchy Standard." In Practical LPIC-1 Linux Certification Study Guide, 53–72. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2358-1_4.

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Drissi, Amani, Ahmed Khemiri, Salma Sassi, Anis Tissaoui, Richard Chbeir, and Abderrazek Jemai. "LDA+: An Extended LDA Model for Topic Hierarchy and Discovery." In Recent Challenges in Intelligent Information and Database Systems, 14–26. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8234-7_2.

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Abramowicz, Witold, Tomasz Kaczmarek, and Marek Kowalkiewicz. "Automatic Topic Map Creation Using Term Crawling and Clustering Hierarchy Projection." In Constructing the Infrastructure for the Knowledge Economy, 555–67. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-4852-9_42.

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Sakai, Yuta, Yui Matsuoka, and Masayuki Goto. "Purchasing Behavior Analysis Model that Considers the Relationship Between Topic Hierarchy and Item Categories." In Social Computing and Social Media: Applications in Education and Commerce, 344–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05064-0_26.

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De Luca Tamajo, Raffaele. "Valori e tecniche in tema di disciplina dei poteri datoriali." In Studi e saggi, 177–81. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/978-88-5518-484-7.12.

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The article deals with the controversial topic of the limits in which the immanent "values" in the legal system and especially in the Italian Constitution can affect the operations of interpretation of the norms of positive law. The thesis is that it is not allowed to use a hierarchy of values dictated by the ideological heritage of the interpreter, but only to draw inspiration from the graduation and mediation of interests emerging from the positive legal order, albeit by resorting to the instrument of interpretation in accordance with the Italian Constitution and the European union law

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Reus, Bernhard. "Hierarchy Theorems." In Undergraduate Topics in Computer Science, 183–94. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27889-6_15.

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Conference papers on the topic "Topic hierarchy"

Martinez Seis, Bella, and Xiaoou Li. "Topic hierarchy in social networks." In 2014 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2014. http://dx.doi.org/10.1109/smc.2014.6974217.

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Liu, Nan, and C. Yang. "Mining web site's topic hierarchy." In Special interest tracks and posters of the 14th international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1062745.1062828.

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Choi, Ikkyu, and Minkoo Kim. "Topic distillation using hierarchy concept tree." In the 26th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/860435.860506.

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Smet, Win De, Win De Smet, Marie-Francine Moens, and Marie-Francine Moens. "Generating a Topic Hierarchy from Dialect Texts." In 18th International Conference on Database and Expert Systems Applications (DEXA 2007). IEEE, 2007. http://dx.doi.org/10.1109/dexa.2007.149.

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Gelbukh, A., G. Sidorov, and A. Guzman-Arenas. "Document comparison with a weighted topic hierarchy." In Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99. IEEE, 1999. http://dx.doi.org/10.1109/dexa.1999.795247.

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Walha, Afef, Faiza Ghozzi, and Faïez Gargouri. "ETL4Social-Data: Modeling Approach for Topic Hierarchy." In 9th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006588901070118.

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Li, Tao, Shenghuo Zhu, and Mitsunori Ogihara. "Topic hierarchy generation via linear discriminant projection." In the 26th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/860435.860531.

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Niu, Yue, and Hongjie Zhang. "A Self-Aggregated Hierarchical Topic Model for Short Texts." In 2nd International Conference on Machine Learning, IOT and Blockchain (MLIOB 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111212.

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With the growth of the internet, short texts such as tweets from Twitter, news titles from the RSS, or comments from Amazon have become very prevalent. Many tasks need to retrieve information hidden from the content of short texts. So ontology learning methods are proposed for retrieving structured information. Topic hierarchy is a typical ontology that consists of concepts and taxonomy relations between concepts. Current hierarchical topic models are not specially designed for short texts. These methods use word co-occurrence to construct concepts and general-special word relations to construct taxonomy topics. But in short texts, word cooccurrence is sparse and lacking general-special word relations. To overcome this two problems and provide an interpretable result, we designed a hierarchical topic model which aggregates short texts into long documents and constructing topics and relations. Because long documents add additional semantic information, our model can avoid the sparsity of word cooccurrence. In experiments, we measured the quality of concepts by topic coherence metric on four real-world short texts corpus. The result showed that our topic hierarchy is more interpretable than other methods.

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Liu, Nan, and Christopher C. Yang. "Keyphrase extraction for labeling a website topic hierarchy." In the 11th International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1593254.1593266.

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Reports on the topic "Topic hierarchy"

Downes, Jane, ed. Chalcolithic and Bronze Age Scotland: ScARF Panel Report. Society for Antiquaries of Scotland, September 2012. http://dx.doi.org/10.9750/scarf.09.2012.184.

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The main recommendations of the panel report can be summarised under five key headings:  Building the Scottish Bronze Age: Narratives should be developed to account for the regional and chronological trends and diversity within Scotland at this time. A chronology Bronze Age Scotland: ScARF Panel Report iv based upon Scottish as well as external evidence, combining absolute dating (and the statistical modelling thereof) with re-examined typologies based on a variety of sources – material cultural, funerary, settlement, and environmental evidence – is required to construct a robust and up to date framework for advancing research.  Bronze Age people: How society was structured and demographic questions need to be imaginatively addressed including the degree of mobility (both short and long-distance communication), hierarchy, and the nature of the ‘family’ and the ‘individual’. A range of data and methodologies need to be employed in answering these questions, including harnessing experimental archaeology systematically to inform archaeologists of the practicalities of daily life, work and craft practices.  Environmental evidence and climate impact: The opportunity to study the effects of climatic and environmental change on past society is an important feature of this period, as both palaeoenvironmental and archaeological data can be of suitable chronological and spatial resolution to be compared. Palaeoenvironmental work should be more effectively integrated within Bronze Age research, and inter-disciplinary approaches promoted at all stages of research and project design. This should be a two-way process, with environmental science contributing to interpretation of prehistoric societies, and in turn, the value of archaeological data to broader palaeoenvironmental debates emphasised. Through effective collaboration questions such as the nature of settlement and land-use and how people coped with environmental and climate change can be addressed.  Artefacts in Context: The Scottish Chalcolithic and Bronze Age provide good evidence for resource exploitation and the use, manufacture and development of technology, with particularly rich evidence for manufacture. Research into these topics requires the application of innovative approaches in combination. This could include biographical approaches to artefacts or places, ethnographic perspectives, and scientific analysis of artefact composition. In order to achieve this there is a need for data collation, robust and sustainable databases and a review of the categories of data.  Wider Worlds: Research into the Scottish Bronze Age has a considerable amount to offer other European pasts, with a rich archaeological data set that includes intact settlement deposits, burials and metalwork of every stage of development that has been the subject of a long history of study. Research should operate over different scales of analysis, tracing connections and developments from the local and regional, to the international context. In this way, Scottish Bronze Age studies can contribute to broader questions relating both to the Bronze Age and to human society in general.

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