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Academic literature on the topic 'Author Topic Model'

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Published: 14 March 2023

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Journal articles on the topic "Author Topic Model"

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Han, Peng, Ming Mei Chen, and Ying Nan Zhang. "A Hierarchical Bayesian Model for Text Corpora." Applied Mechanics and Materials 687-691 (November 2014): 1237–40. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1237.

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We propose a new generative probabilistic Dirich- let Author-Topic (DAT) Model for extracting information about authors and topics from large text collections. DAT is a three-level hierarchical Bayesian model. The model builds on the Author Topic (AT) model, adding the key attribute that distribution over author is conditioned on a Dirichlet prior. The probability distribution over topics in a multi-author document is a mixture of the distributions associated with the authors. The three level distributions including document-author, author-topic and topic-word are learned from data in an unsupervised manner using a Gibbs sampling algorithm. We give results on a large corpus which contains 1740 papers from the Neural Information Processing Systems Conference (NIPS). Experiments based on perplexity scores for test documents are used to illustrate systematic differences between the proposed model and a number of alternatives.
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Jin, Jian, Qian Geng, Haikun Mou, and Chong Chen. "Author–Subject–Topic model for reviewer recommendation." Journal of Information Science 45, no. 4 (October 19, 2018): 554–70. http://dx.doi.org/10.1177/0165551518806116.

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Interdisciplinary studies are becoming increasingly popular, and research domains of many experts are becoming diverse. This phenomenon brings difficulty in recommending experts to review interdisciplinary submissions. In this study, an Author–Subject–Topic (AST) model is proposed with two versions. In the model, reviewers’ subject information is embedded to analyse topic distributions of submissions and reviewers’ publications. The major difference between the AST and Author–Topic models lies in the introduction of a ‘Subject’ layer, which supervises the generation of hierarchical topics and allows sharing of subjects among authors. To evaluate the performance of the AST model, papers in Information System and Management (a typical interdisciplinary domain) in a famous Chinese academic library are investigated. Comparative experiments are conducted, which show the effectiveness of the AST model in topic distribution analysis and reviewer recommendation for interdisciplinary studies.
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Hoi, Huynh Tan. "FINDING OUT THE INFLUENCE OF TOPIC BASED OBJECT ACCORDING TO SOCIAL NETWORKS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 15, 2021): 948–53. http://dx.doi.org/10.17762/itii.v9i1.222.

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In this research paper, the author mainly focuses on researching models in social networks analysis and then use them to develop the system which is able to allow users to search right topics as well as right research papers of other authors. In this paper, the author do research on Author – Conference –Topic model for the topic relevant to users’ requirements. With each of these topics, the system will create a graph of Topical Affinity Propagation (TAP) with the aim to analyze the topics based influence of authors. The results on the corpus extracted from Microsoft Academic Research include 34,330 authors, 19,921 articles, 1,335 conference and 424,501 co-author relations.
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Phan, Truong Ho Viet, Thanh Trung Ho, and Phuc Do. "Topic based object Influence analysis in Social networks." Science and Technology Development Journal 16, no. 4 (December 31, 2013): 68–78. http://dx.doi.org/10.32508/stdj.v16i4.1586.

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In this article, we focus on researching models in social networks analysis and use them to develop the system which enables users to exactly find topics as well as necessary research of authors. In this research, we study Author – Conference – Topic (ACT) model to find out the topic relevant to users’ requirements. With each of these topics, the system will create a graph of Topical Affinity Propagation (TAP) in purpose of analyzing the topic based influence of authors. Experimental results on the corpus extracted from Microsoft Academic Research include 34,330 authors, 19,921 articles, 1,335 conference and 424,501 co-author relations.
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Seroussi, Yanir, Ingrid Zukerman, and Fabian Bohnert. "Authorship Attribution with Topic Models." Computational Linguistics 40, no. 2 (June 2014): 269–310. http://dx.doi.org/10.1162/coli_a_00173.

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Authorship attribution deals with identifying the authors of anonymous texts. Traditionally, research in this field has focused on formal texts, such as essays and novels, but recently more attention has been given to texts generated by on-line users, such as e-mails and blogs. Authorship attribution of such on-line texts is a more challenging task than traditional authorship attribution, because such texts tend to be short, and the number of candidate authors is often larger than in traditional settings. We address this challenge by using topic models to obtain author representations. In addition to exploring novel ways of applying two popular topic models to this task, we test our new model that projects authors and documents to two disjoint topic spaces. Utilizing our model in authorship attribution yields state-of-the-art performance on several data sets, containing either formal texts written by a few authors or informal texts generated by tens to thousands of on-line users. We also present experimental results that demonstrate the applicability of topical author representations to two other problems: inferring the sentiment polarity of texts, and predicting the ratings that users would give to items such as movies.
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Rifqi Nafis, Rizky Parlika, and Sugiarto. "MENGELOMPOKKAN TOPIK TWEET AKUN POLITISI DENGAN PEMODELAN TOPIK METODE AUTHOR-TOPIC MODELS." Jurnal Informatika dan Sistem Informasi 2, no. 1 (March 23, 2021): 99–105. http://dx.doi.org/10.33005/jifosi.v2i1.268.

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Twitter merupakan sebuah platform untuk berhubungan satu sama lain agar tetap berkomunikasi dan tetap terhubung dengan mengirim pesan cepat dan daring. Pada Twitter juga dapat membuat tweet yang berisi foto, video, tautan, atau teks. Pada aplikasi Twitter pengguna cenderung lebih mengutarakan isi hati yang sebenarnya dibandingkan dengan platform media sosial lainnya. Pada tahun 2020 ini telah terjadi wabah atau pandemi Covid-19 dan pada akhir tahun bulan Desember akan diselenggarakan pilkada serentak seluruh Indonesia. Dari hal tersebut dibutuhkannya sebuah platform yang mampu memberikan informasi visual terhadap aktivitas politisi dalam hal mengutarakan isi hatinya di media sosial Twitter dengan melakukan topic modelling terhadap aktivitas politisi tersebut ketika membuat sebuah tulisan atau tweet menggunakan metode Author-Topic Models. Penelitian ini dikhususkan untuk menganalisa data tweet akun Twitter politisi di Indonesia, proses pengambilan data dilakukan dengan cara crawling data pada user timeline aplikasi Twitter. Setelah data didapatkan kemudian akan dianalisa dengan menggunakan Author-Topic Models dan dilakukan visualisasi terhadap topik pembahasan berdasarkan tweet yang telah dibuat oleh masing-masing akun Twitter politisi. Melalui proses topic modelling, telah didapatkan hasil terbaik berupa 3 topik. Model 3 topik tersebut dikatakan terbaik karena memiliki nilai perplexity terendah diantara jumlah topik lain yang diuji. 3 topik yang terbentuk dianalisis dan diterjemahkan ke dalam label kategori, yaitu “Rakyat Tolak RUU Cipta Kerja”, “Ucapan Syukur saat Pandemi”, “Kondisi Ekonomi saat Pandemi” dengan jumlah data tweet yang digunakan adalah 24846 data tweet dari 36 akun Twitter politisi.
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Liu, Sanya, Cheng Ni, Zhi Liu, Xian Peng, and Hercy N. H. Cheng. "Mining Individual Learning Topics in Course Reviews Based on Author Topic Model." International Journal of Distance Education Technologies 15, no. 3 (July 2017): 1–14. http://dx.doi.org/10.4018/ijdet.2017070101.

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Nowadays, Massive Open Online Courses (MOOC) has obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data in education. To mine useful information from these data, we need to use educational data mining and learning analysis technique to study the learning feelings and discussed topics among learners. This paper aims to mine and analyze topic information hidden in the unstructured reviews data in MOOC, a novel author topic model based on an unsupervised learning idea is proposed to extract learning topics for the each learner. According to the experimental results, we will analyze and focuses of interests of learners, which facilitates further personalized course recommendation and improve the quality of online courses.
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Kim, Jooyeon, Dongwoo Kim, and Alice Oh. "Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora." Transactions of the Association for Computational Linguistics 5 (December 2017): 191–204. http://dx.doi.org/10.1162/tacl_a_00055.

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Much of scientific progress stems from previously published findings, but searching through the vast sea of scientific publications is difficult. We often rely on metrics of scholarly authority to find the prominent authors but these authority indices do not differentiate authority based on research topics. We present Latent Topical-Authority Indexing (LTAI) for jointly modeling the topics, citations, and topical authority in a corpus of academic papers. Compared to previous models, LTAI differs in two main aspects. First, it explicitly models the generative process of the citations, rather than treating the citations as given. Second, it models each author’s influence on citations of a paper based on the topics of the cited papers, as well as the citing papers. We fit LTAI into four academic corpora: CORA, Arxiv Physics, PNAS, and Citeseer. We compare the performance of LTAI against various baselines, starting with the latent Dirichlet allocation, to the more advanced models including author-link topic model and dynamic author citation topic model. The results show that LTAI achieves improved accuracy over other similar models when predicting words, citations and authors of publications.
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Rakhmawati, Nur Aini, N. F. Faiz, Irmasari Hafidz, Indra Raditya, Pande Dinatha, and Andrianto Suwignyo. "Clustering student Instagram accounts using author-topic model." International Journal of Business Intelligence and Data Mining 19, no. 1 (2021): 70. http://dx.doi.org/10.1504/ijbidm.2021.115954.

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McCallum, A., X. Wang, and A. Corrada-Emmanuel. "Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email." Journal of Artificial Intelligence Research 30 (October 13, 2007): 249–72. http://dx.doi.org/10.1613/jair.2229.

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Previous work in social network analysis (SNA) has modeled the existence of links from one entity to another, but not the attributes such as language content or topics on those links. We present the Author-Recipient-Topic (ART) model for social network analysis, which learns topic distributions based on the direction-sensitive messages sent between entities. The model builds on Latent Dirichlet Allocation (LDA) and the Author-Topic (AT) model, adding the key attribute that distribution over topics is conditioned distinctly on both the sender and recipient---steering the discovery of topics according to the relationships between people. We give results on both the Enron email corpus and a researcher's email archive, providing evidence not only that clearly relevant topics are discovered, but that the ART model better predicts people's roles and gives lower perplexity on previously unseen messages. We also present the Role-Author-Recipient-Topic (RART) model, an extension to ART that explicitly represents people's roles.
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Dissertations / Theses on the topic "Author Topic Model"

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KAVOOSIFAR, MOHAMMAD REZA. "Data Mining and Indexing Big Multimedia Data." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2742526.

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Juselius, Mikael. "A cointegration approach to topics in empirical macroeconomics /." Helsingfors : Svenska Handelshögskolan, 2007. http://www.gbv.de/dms/zbw/555519236.pdf.

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Mouzouni, Charafeddine. "Topic in mean field games theory & applications in economics and quantitative finance." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEC006.

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Les systèmes de jeux à champ moyen (MFG) décrivent des configurations d’équilibre dans des jeux différentiels avec un nombre infini d’agents infinitésimaux. Cette thèse s’articule autour de trois contributions différentes la théorie des jeux à champ moyen. Le but principal est d’explorer des applications et des extensions de cette théorie, et de proposer de nouvelles approches et idées pour traiter les questions mathématiques sous-jacentes. Le premier chapitre introduit en premier lieu les concepts et idées clés que nous utilisons tout au long de la thèse. Nous introduisons le problème MFG et nous expliquons brièvement le lien asymptotique avec les jeux différentiels N-joueurs lorsque N → ∞. Nous présentons ensuite nos principaux résultats et contributions. Le Chapitre 2 explore un modèle MFG avec un mode d’interaction non anticipatif (joueurs myopes). Contrairement aux modèles MFG classiques, nous considérons des agents moins rationnels qui n’anticipent pas l’évolution de l’environnement, mais observent uniquement l’état actuel du système, subissent les changements et prennent des mesures en conséquence. Nous analysons le système couplé d’EDP résultant de ce modèle, et nous établissons le lien rigoureux avec le jeu correspondant à N-Joueurs. Nous montrons que la population d’agents peut s’auto-organiser par un processus d’autocorrection et converger exponentiellement vite vers une configuration d’équilibre MFG bien connue. Les Chapitres 3 et 4 concernent l’application de la théorie MFG pour la modélisation des processus de production et commercialisation de produits avec ressources épuisables (ex. énergies fossiles). Dans le le Chapitre 3, nous proposons une approche variationnelle pour l’étude du système MFG correspondant et analysons la limite déterministe (sans fluctuations de la demande) dans un régime où les ressources sont renouvelables ou abondantes. Nous traitons dans le Chapitre 4 l’approximation MFG en analysant le lien asymptotique entre le modèle de Cournot à N-joueurs et le modèle de Cournot MFG lorsque N est grand. Enfin, le Chapitre 5 considère un modèle MFG pour l’exécution optimale d’un portefeuille d’actifs dans un marché financier. Nous explicitons notre modèle MFG et analysons le système d’EDP résultant, puis nous proposons une méthode numérique pour calculer la stratégie d’exécution optimale pour un agent étant donné son inventaire initial, et présentons plusieurs simulations. Par ailleurs, nous analysons l’influence de l’activité de trading sur la variation intraday de la matrice de covariance des rendements des actifs. Ensuite, nous vérifions nos conclusions et calibrons notre modèle en utilisant des données historiques des transactions pour un pool de 176 actions américaines
Mean Field Game (MFG) systems describe equilibrium configurations in differential games with infinitely many infinitesimal interacting agents. This thesis is articulated around three different contributions to the theory of Mean Field Games. The main purpose is to explore the power of this theory as a modeling tool in various fields, and to propose original approaches to deal with the underlying mathematical questions. The first chapter presents the key concepts and ideas that we use throughout the thesis: we introduce the MFG problem, and we briefly explain the asymptotic link with N-Player differential games when N → ∞. Next we present our main results and contributions, that are explained more in details in the subsequent chapters. In Chapter 2, we explore a Mean Field Game model with myopic agents. In contrast to the classical MFG models, we consider less rational agents which do not anticipate the evolution of the environment, but only observe the current state of the system, undergo changes and take actions accordingly. We analyze the resulting system of coupled PDEs and provide a rigorous derivation of that system from N-Player stochastic differential games models. Next, we show that our population of agents can self-organize and converge exponentially fast to the well-known ergodic MFG equilibrium. Chapters 3 and 4 deal with a MFG model in which producers compete to sell an exhaustible resource such as oil, coal, natural gas, or minerals. In Chapter 3, we propose an alternative approach based on a variational method to formulate the MFG problem, and we explore the deterministic limit (without fluctuations of demand) in a regime where re- sources are renewable or abundant. In Chapter 4 we address the rigorous link between the Cournot MFG model and the N-Player Cournot competition when N is large. In Chapter 5, we introduce a MFG model for the optimal execution of a multi-asset portfolio. We start by formulating the MFG problem, then we compute the optimal execution strategy for a given investor knowing her/his initial inventory and we carry out several simulations. Next, we analyze the influence of the trading activity on the observed intra-day pattern of the covariance matrix of returns and we apply our results in an empirical analysis on a pool of 176 US stocks
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Shen, Sheng-Yao, and 沈聖堯. "Improving Variational Auto-Encoder Based Neural Topic Model with Sparse Latent Concept Layer." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/jg7gu7.

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碩士
國立臺灣大學
電機工程學研究所
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In this thesis, the primary contribution is proposing a simple variational auto-encoder based topic model, and effective topic word selection criteria. By decomposing the probability matrix into the product of a topic matrix and a word matrix, we introduce sparse latent concepts (SLC) as the dimensionalities of the semantic space of the topic and word vectors, improve the model based on the idea that a topic is represented as few latent concepts, and select topic words by semantic similarity between topic and word vectors. In the experiments, SLC-based model outperforms the non-SLC-based model in terms of average topic coherence.
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Books on the topic "Author Topic Model"

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Brioni, Simone, and Shirin Ramzanali Fazel. Scrivere di Islam. Venice: Edizioni Ca' Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-411-0.

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Scrivere di Islam. Raccontare la diaspora (Writing About Islam. Narrating a Diaspora) is a meditation on our multireligious, multicultural, and multilingual reality. It is the result of a personal and collaborative exploration of the necessity to rethink national culture and identity in a more diverse, inclusive, and anti-racist way. The central part of this volume – both symbolically and physically – includes Shirin Ramzanali Fazel’s reflections on the discrimination of Muslims, and especially Muslim women, in Italy and the UK. Looking at school textbooks, newspapers, TV programs, and sharing her own personal experience, this section invites us to change the way Muslim immigrants are narrated in scholarly research and news reports. Most importantly, this section urges us to consider minorities not just as ‘topics’ of cultural analysis, but as audiences and cultural agents. Following Shirin’s invitation to question prevailing modes of representations of immigrants, the volume continues with a dialogue between the co-authors and discusses how collaboration can be a way to avoid reproducing a ‘colonial model’ of knowledge production, in which the white male scholar takes as object of analysis the work of an African female writer. The last chapter also asserts that immigration literature cannot be approached with the same expectations and questions readers would have when reading ‘canonised’ texts. A new critical terminology is needed in order to understand the innovative linguistic choices and narrative forms that immigrant writers have invented in order to describe a reality that has lacked representation or which has frequently been misrepresented, especially in the discourse around the contemporary Muslim diaspora.
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Bol'shunova, Sofiya, Ekaterina Voevodina, Vasiliy Dyagilev, Mihail Zelenkov, Dariya Kushnir, Aleksandr Ozerov, Aleksandra Proskurina, Yuliya Ten, Sergey Klyagin, and Aziza Yarasheva. Intercultural communication in the global world: modeling, efficiency, trust. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1895951.

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The monograph is a generalization of the results of fundamental and applied research carried out within the framework of research work on modeling intercultural communications and assessing trust in the socio-cultural, economic, political, educational spheres of society according to the state assignment of the Financial University under the Government of the Russian Federation. The main approaches to the conceptualization and development of methodological tools for modeling intercultural communication in the global world are substantiated and described, the author's developed activity-phenomenological concept and principles of modeling intercultural communication in the processes of global transformations of the XXI century are presented. The features of the global socio-cultural situation as a space of intercultural communication, including in the network space, are described, the models of minimizing barriers in intercultural communication are described. communications. Special attention is paid to modeling and evaluating the effectiveness of intercultural communications in various spheres of society: socio-cultural, socio-economic, political and educational. It can be used by teachers, students and postgraduates in the educational process and when writing creative works on this topic.
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Balackiy, Evgeniy, Natal'ya Ekimova, Aleksandr Rudnev, and Aleksandr Gusev. New approaches to modeling economic development. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1862597.

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The monograph presents new results of the authors' long-term research on various topical issues of economic development. All the proposed new approaches are given in the broad context of already existing theories and models, as well as illustrated by numerous vivid examples from the history of different countries. Most of the topics covered belong to the category of the most burning social issues of our time, which gives the work an element of scientific "freshness" and discussion. All the fundamental theses are accompanied by the necessary models, equations, formulas, graphs and figures, but in general the material is not overloaded with technical details, which makes it quite accessible to any interested reader. The peculiarity of the monograph is that all its sections are based on the "paradox principle", the essence of which is to formulate the original problem in the most acute form, taking the form of a logical paradox. The range of topics under consideration covers the history of mankind from antiquity to the modern state. For example, why did humanity, which had been vegetating in the Malthusian trap for 10 thousand years, break out of it at the turn of the XVII and XVIII centuries? What is needed so that the economic growth that has begun does not "choke" in a short time and does not degenerate again into prolonged stagnation? How are economic growth and return on capital related? How are income inequality and the country's investment activity related? How to measure and in practice link the dialectical properties of institutions that presuppose order and freedom? Is it possible to diagnose "failures" in the regulatory activities of central banks? How to explain the transcendent technological creativity of Russian researchers and engineers with Russia's systematic technological lag behind Western countries? Does Russia have a chance to join the club of the most developed and prosperous countries in the world and what is needed for this? And much, much more. It is addressed to both professional specialists and everyone interested in modern problems of human development.
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Lei, Yuan. Mechanical Ventilation Modes. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0008.

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‘Mechanical Ventilation Modes’ seeks to shed light on this hotly debated topic, one that is complicated by ventilator manufacturers’ non-standardized terminology. The chapter looks at conventional modes, adaptive modes, and biphasic modes, which it classifies based on the mechanical breath types in each mode. It includes a comparison chart of the terminology used for common modes on popular IPPV ventilators. Using their signature waveforms, the author describes the assist/control, SIMV, and pressure support ventilation or PSV modes. It defines the modes by their application of spontaneous breaths and mandatory breaths. It continues with a discussion of adaptive modes and biphasic modes. It ends by discussing how to select the appropriate ventilation mode.
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Pratt, Michael W., and M. Kyle Matsuba. Peer and Romantic Relationships in Emerging Adulthood. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199934263.003.0008.

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Chapter 8 focuses on the development of peer and romantic relationships. The authors draw on Erikson’s theory as focused around the key period of intimacy development in emerging adulthood, and also discuss attachment theory models on this topic. They review the longitudinal research evidence on links between the three components of personality in the McAdams and Pals model and intimacy development. Turning to the evidence from our Futures Study sample, the authors analyze stories told at ages 26 and 32 about friends and about romantic partners, and how these two domains of relationships are linked with personality development. Finally, to illustrate key topics, the chapter ends with a case study on the complex and stressful romantic relationship of an iconic Canadian political couple from the 1970s, Prime Minister Pierre Trudeau and his emerging adult-aged wife, Margaret Sinclair.
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Chen, Ruey-Lin. Experimental Individuation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190636814.003.0009.

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This chapter examines the problem of individuation from the perspective of experimental practices. In previous work, the author suggests a conception of experimental individuality (defined by separability, manipulability, and maintainability of structural unity) extracted from experimental individuation whose process and conditions in turn are the topic of this chapter. The author identifies the creation of individuals in experimenting as the ontological mode of experimental individuation and the presentation of individuals as the epistemological mode. Three experimental cases (the creation of Bose-Einstein condensates and fermionic condensates and the presentation of individual genes) are examined to explain the two modes. The author argues that effective experimental mechanisms and operative conditions for maintaining the structural unity of experimented entities when those entities are separated and manipulated occur in both modes of experimental individuation.
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Jockers, Matthew L. Theme. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0008.

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This chapter demonstrates how big data and computation can be used to identify and track recurrent themes as the products of external influence. It first considers the limitations of the Google Ngram Viewer as a tool for tracing thematic trends over time before turning to Douglas Biber's Corpus Linguistics: Investigating Language Structure and Use, a primer on various factors complicating word-focused text analysis and the subsequent conclusions one might draw regarding word meanings. It then discusses the results of the author's application of latent Dirichlet allocation (LDA) to a corpus of 3,346 nineteenth-century novels using the open-source MALLET (MAchine Learning for LanguagE Toolkit), a software package for topic modeling. It also explains the different types of analyses performed by the author, including text segmentation, word chunking, and author nationality, gender and time-themes relationship analyses. The thematic data from the LDA model reveal the degree to which author nationality, author gender, and date of publication could be predicted by the thematic signals expressed in the nineteenth-century novels corpus.
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Kleege, Georgina. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190604356.003.0001.

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The introduction gives an overview of the book as a whole with a summary of all the chapters. The author positions herself in relation to the topic as the blind daughter of two visual artists, therefore both a potential consumer of museum access programs, while simultaneously critical of their shortcomings. She observes that museum access programs typically seem designed either for blind children or else for blind adults who have led such isolated lives that they are unfamiliar with terms associated with vision and visual art. The author also speculates on how this study of one minority—blind and visually impaired people—and one cultural site—the art museum—could serve as a model for future inquiry.
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Rosik, Piotr. Świat dostępności - metody i komponenty : przykłady analiz empirycznych przestrzeni Polski = The world of accessibility : methods and components : cases of emprical analyses in Poland's space. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego, Polska Akademia Nauk, 2021. http://dx.doi.org/10.7163/9788361590767.

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Accessibility has many facets. This study focuses on accessibility involving people’s travel, or to be more precise, on the ability to cover the distance from point A (origin) to point B (destination). Accessibility thus defined has its: (1) components (i.e. transport, land-use, individual and temporal components), (2) dimensions (i.e. travel origin and destination, distance decay, restrictions, barriers, mode of transport, extent of study area, socioeconomic and territorial cohesion, and dynamics) and (3) attributes (i.e. affordability, availability, nodal accessibility, and acceptability). The components, dimensions and attributes combine to form the world of accessibility. After having been a subject of academic writing for decades, that world has finally received its own comprehensive volume by Polish author. The book covers its topic in seven chapters. It begins with an introduction, which lays down the objectives and structure of the study and is followed by a chapter covering the definition of accessibility. Chapter 3 is devoted to the methodology of accessibility research. The fourth and longest chapter offers a review of the most important areas of the world of accessibility built around the four components and the dimensions of accessibility. Chapter 5 focuses on the attributes of accessibility, transport exclusion and access equality. Chapter 6 presents the basics of the authors’ own new model of four accessibility factors (network, spatial, travel and individual) developed in the form of a NeST box model. The volume ends with a review of the major threads and considerations of accessibility research in the immediate future, namely: (1) Big Data; (2) distance decay; (3) external spatial effects; (4) sensitivity, criticality and exposure; (5) development of new forms of transport; (6) affordability and equality; (7) long-term effects of the COVID-19 pandemic; (8) comparative analyses and evaluation using accessibility indices.
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Ion, Amalia-Elena. Management models for public policy readjustment within the EU inland freight transport industry. Editura Universitara, 2022. http://dx.doi.org/10.5682/9786062813420.

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The research presented in this book is related to the public policy perspectives and decision making processes and mechanisms related to the freight transport sector of the EU economy. The reasoning behind the topic selection stems from personal knowledge and experience of the author, which, in turn, determined the unfolding of the main research direction, namely to present the observed problems and solutions across the legislation regarding the road, rail, and inland waterways subsectors of the freight transport in the EU 27. After the initial assessment of the public policies affecting each subsector though the individual consideration of management, financial, and human capital solutions and gaps proposed or determined by the enforced legislation, the research forwarded a management model for public policy readjustment, by approaching the dilemma from the perspective of business management, general context, and innovation and technology – key dimensions influencing the development and good conduct of the freight transport sector.
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Book chapters on the topic "Author Topic Model"

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Mou, Haikun, Qian Geng, Jian Jin, and Chong Chen. "An Author Subject Topic Model for Expert Recommendation." In Information Retrieval Technology, 83–95. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28940-3_7.

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Ho, Kim Thoa, Quang Vu Bui, and Marc Bui. "Dynamic Social Network Analysis Using Author-Topic Model." In Innovations for Community Services, 47–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93408-2_4.

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Zhang, Yong, Dong-Hong Ji, Ying Su, and Po Hu. "Topic Analysis for Online Reviews with an Author-Experience-Object-Topic Model." In Information Retrieval Technology, 303–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25631-8_28.

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Jiang, Shuhui, Xueming Qian, Jialie Shen, and Tao Mei. "Travel Recommendation via Author Topic Model Based Collaborative Filtering." In MultiMedia Modeling, 392–402. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14442-9_45.

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Dai, Andrew M., and Amos J. Storkey. "The Grouped Author-Topic Model for Unsupervised Entity Resolution." In Lecture Notes in Computer Science, 241–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21735-7_30.

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Li, Chunshan, William K. Cheung, Yunming Ye, and Xiaofeng Zhang. "The Author-Topic-Community Model: A Generative Model Relating Authors’ Interests and Their Community Structure." In Advanced Data Mining and Applications, 753–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35527-1_62.

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Zhang, Haowen, Peng Nie, Yanlong Wen, and Xiaojie Yuan. "Authorship Attribution for Short Texts with Author-Document Topic Model." In Knowledge Science, Engineering and Management, 29–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99365-2_3.

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Xu, Shuo, Qingwei Shi, Xiaodong Qiao, Lijun Zhu, Hanmin Jung, Seungwoo Lee, and Sung-Pil Choi. "Author-Topic over Time (AToT): A Dynamic Users’ Interest Model." In Lecture Notes in Electrical Engineering, 239–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40675-1_37.

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Tran, Duy-Hoang, Hideaki Takeda, Kei Kurakawa, and Minh-Triet Tran. "Combining Topic Model and Co-author Network for KAKEN and DBLP Linking." In Intelligent Information and Database Systems, 396–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28493-9_42.

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Mahalakshmi, G. S., G. Muthu Selvi, and S. Sendhilkumar. "Generation of Author Topic Models Using LDA." In Computational Vision and Bio Inspired Computing, 837–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71767-8_72.

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Conference papers on the topic "Author Topic Model"

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Kawamae, Noriaki. "Author interest topic model." In Proceeding of the 33rd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1835449.1835666.

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Mukherjee, Subhabrata, Gaurab Basu, and Sachindra Joshi. "Joint Author Sentiment Topic Model." In Proceedings of the 2014 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973440.43.

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Zhang, Tianbing, and Wang Luo. "Image Quality Assessment Using Author Topic Model." In 2013 International Conference on Information Technology and Applications (ITA). IEEE, 2013. http://dx.doi.org/10.1109/ita.2013.21.

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Kaneishi, Shougo, and Takuya Tajima. "Word sense disambiguation using author topic model." In 2014 IEEE International Symposium on Independent Computing (ISIC). IEEE, 2014. http://dx.doi.org/10.1109/indcomp.2014.7011753.

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KeHua, Yang, and Yang Xiang. "Author-Topic-Sentiment Mixture(ATSM) model for Author's Sentiment Analysis." In 3rd International Conference on Computer Science and Service System. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/csss-14.2014.20.

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Wang, Jianwen, Xiaohua Hu, Xinhui Tu, and Tingting He. "Author-conference topic-connection model for academic network search." In the 21st ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396761.2398597.

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Shalinie, S. Mercy, K. Sundarakantham, and S. Pushparathi. "A author topic model based unsupervised algorithm for learning topics from large text collections." In 2011 International Conference on Recent Trends in Information Technology (ICRTIT). IEEE, 2011. http://dx.doi.org/10.1109/icrtit.2011.5972315.

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Xu, Zhiheng, Long Ru, Liang Xiang, and Qing Yang. "Discovering User Interest on Twitter with a Modified Author-Topic Model." In 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies. IEEE, 2011. http://dx.doi.org/10.1109/wi-iat.2011.47.

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Xuan, Junyu, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, and Xiangfeng Luo. "Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process." In 2015 IEEE International Conference on Data Mining (ICDM). IEEE, 2015. http://dx.doi.org/10.1109/icdm.2015.19.

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Giaquinto, Robert, and Arindam Banerjee. "DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora." In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018. http://dx.doi.org/10.1109/icdm.2018.00120.

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