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Linking Statistical and Ecological Theory: Hubbell's Unified Neutral Theory of Biodiversity as a Hierarchical Dirichlet Process -н Keith Harris, Todd L. Parsons, Umer Zeeshan Ijaz, Leo Lahti, Ian Holmes, Christopher Quince

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Probabilistic topic modeling for the analysis and classification of genomic sequences -н Massimo La Rosa, Antonino Fiannaca, Riccardo Rizzo, Alfonso Urso

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What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques -н Annie Chen, Shu‐Hong Zhu, Mike Conway

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A Study on the Research Trends in Library & Information Science in Korea using Topic Modeling -н Ja-Hyun Park, Min Song

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What are we ‘tweeting’ about obesity? Mapping tweets with topic modeling and Geographic Information System -н Debarchana Ghosh, Rajarshi Guha

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You Are What You Tweet: Analyzing Twitter for Public Health -н Michael Paul, Mark Dredze

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Topic models: A novel method for modeling couple and family text data. -н David C. Atkins, Timothy N. Rubin, Mark Steyvers, Michelle A. Doeden, Brian R. Baucom, Andrew Christensen

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Discovery of clinical pathway patterns from event logs using probabilistic topic models -н Zhengxing Huang, Wei Dong, Lei Ji, Chenxi Gan, Xudong Lü, Huilong Duan

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Discovering Health Topics in Social Media Using Topic Models -н Michael J. Paul, Mark Dredze

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Inferring the origin locations of tweets with quantitative confidence -н Reid Priedhorsky, Aron Culotta, Sara Y. Del Valle

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Tractography segmentation using a hierarchical Dirichlet processes mixture model -н Xiaogang Wang, W. Eric L. Grimson, Carl‐Fredrik Westin

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Building bridges across electronic health record systems through inferred phenotypic topics -н You Chen, Joydeep Ghosh, Adrian Bejan, Carl A. Gunter, Siddharth Gupta, Abel Kho, David Liebovitz, Jimeng Sun, Joshua C. Denny, Bradley Malin

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Mining FDA drug labels using an unsupervised learning technique - topic modeling -н Halil Bişğin, Zhichao Liu, Hong Fang, Xiaowei Xu, Weida Tong

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A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews -н Byron Wallace, Michael J. Paul, Urmimala Sarkar, Thomas A Trikalinos, Mark Dredze

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Supporting systematic reviews using LDA-based document representations -н Yuanhan Mo, Georgios Kontonatsios, Sophia Ananiadou

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Self-disclosure topic model for classifying and analyzing Twitter conversations -н JinYeong Bak, Chin-Yew Lin, Alice Oh

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Epidemic Intelligence for the Crowd, by the Crowd -н Ernesto Diaz-Aviles, Avaré Stewart, Edward Velasco, Kerstin Denecke, Wolfgang Nejdl

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Text mining for identifying topics in the literatures about adolescent substance use and depression -н Shi‐Heng Wang, Yijun Ding, Weizhong Zhao, Yung-Hsiang Huang, Roger Perkins, Wen Zou, James J. Chen

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Content Coding of Psychotherapy Transcripts Using Labeled Topic Models -н Garren Gaut, Mark Steyvers, Zac E. Imel, David C. Atkins, Padhraic Smyth

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SWIFT-Review: a text-mining workbench for systematic review -н Brian E. Howard, Jason Phillips, Kyle J. Miller, Arpit Tandon, Deepak Mav, Mihir R. Shah, Stephanie Holmgren, Katherine E. Pelch, Vickie R. Walker, Andrew A. Rooney, Malcolm Macleod, Ruchir Shah, Kristina A. Thayer

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