Discourse Analysis of User Forums in an Online Weight Loss Application
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Subbarao Kambhampati | David W. McDonald | Lydia Manikonda | Eric B. Hekler | Heather Pon-Barry | S. Kambhampati | E. Hekler | Heather Pon-Barry | L. Manikonda | David W. Mcdonald
[1] Alan Ritter,et al. Data-Driven Response Generation in Social Media , 2011, EMNLP.
[2] Jussi Karlgren,et al. Recognizing Text Genres With Simple Metrics Using Discriminant Analysis , 1994, COLING.
[3] Sune Lehmann,et al. Understanding the Demographics of Twitter Users , 2011, ICWSM.
[4] Timothy Baldwin,et al. langid.py: An Off-the-shelf Language Identification Tool , 2012, ACL.
[5] Charles H Franklin,et al. Republican Schoolmaster: The U.S. Supreme Court, Public Opinion, and Abortion , 1989, American Political Science Review.
[6] Marilyn A. Walker,et al. Cats Rule and Dogs Drool!: Classifying Stance in Online Debate , 2011, WASSA@ACL.
[7] J. P. Maloney,et al. Social support: a conceptual analysis. , 1997, Journal of advanced nursing.
[8] Timothy Baldwin,et al. Collective Classification of Congressional Floor-Debate Transcripts , 2011, ACL.
[9] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[10] Swapna Somasundaran,et al. Recognizing Stances in Online Debates , 2009, ACL.
[11] Derek Ruths,et al. Gender Inference of Twitter Users in Non-English Contexts , 2013, EMNLP.
[12] Yejin Choi,et al. Characterizing Stylistic Elements in Syntactic Structure , 2012, EMNLP.
[13] Owen Rambow,et al. Identifying Justifications in Written Dialogs , 2011, 2011 IEEE Fifth International Conference on Semantic Computing.
[14] Sean Gerrish,et al. Predicting Legislative Roll Calls from Text , 2011, ICML.
[15] Hila Becker,et al. Selecting Quality Twitter Content for Events , 2011, ICWSM.
[16] Navneet Kaur,et al. Opinion mining and sentiment analysis , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).
[17] David Yarowsky,et al. Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media , 2013, EMNLP.
[18] C. Wolbrecht,et al. Public Reaction to Supreme Court Decisions , 2004, Perspectives on Politics.
[19] Emiel Krahmer,et al. Squibs and Discussions: Real versus Template-Based Natural Language Generation: A False Opposition? , 2005, CL.
[20] David Krackhardt,et al. Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions , 2007, Psychometrika.
[21] Sandra L Saperstein,et al. The impact of Internet use for weight loss , 2007, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[22] Bing Liu,et al. Opinion spam and analysis , 2008, WSDM '08.
[23] Jimmy J. Lin,et al. Pairwise Document Similarity in Large Collections with MapReduce , 2008, ACL.
[24] Robert Dale,et al. Building applied natural language generation systems , 1997, Natural Language Engineering.
[25] Hosung Park,et al. What is Twitter, a social network or a news media? , 2010, WWW '10.
[26] Miles Osborne,et al. Streaming First Story Detection with application to Twitter , 2010, NAACL.
[27] Janyce Wiebe,et al. Just How Mad Are You? Finding Strong and Weak Opinion Clauses , 2004, AAAI.
[28] Alice H. Oh,et al. Self-Disclosure and Relationship Strength in Twitter Conversations , 2012, ACL.
[29] Nina Wacholder,et al. Identifying Sarcasm in Twitter: A Closer Look , 2011, ACL.
[30] C H Franklin,et al. Republican schoolmaster: the U.S. Supreme Court, public opinion and abortion. , 1989, The American political science review.
[31] G. Colditz,et al. The disease burden associated with overweight and obesity. , 1999, JAMA.
[32] Albert Gatt,et al. SimpleNLG: A Realisation Engine for Practical Applications , 2009, ENLG.
[33] Hila Becker,et al. Learning similarity metrics for event identification in social media , 2010, WSDM '10.
[34] Dan Klein,et al. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network , 2003, NAACL.
[35] Amita Misra,et al. Topic Independent Identification of Agreement and Disagreement in Social Media Dialogue , 2013, SIGDIAL Conference.
[36] Self Book. Self Disclosure An Experimental Analysis Of The Transparent Self , 2016 .
[37] Dan Gusfield,et al. Algorithms on Strings, Trees, and Sequences - Computer Science and Computational Biology , 1997 .
[38] Ari Rappoport,et al. Enhanced Sentiment Learning Using Twitter Hashtags and Smileys , 2010, COLING.
[39] Mirella Lapata,et al. Modeling Local Coherence: An Entity-Based Approach , 2005, ACL.
[40] Brendan T. O'Connor,et al. Learning to Extract International Relations from Political Context , 2013, ACL.
[41] Andreas M. Kaplan,et al. Flagship Brand Stores within Virtual Worlds: The Impact of Virtual Store Exposure on Real-Life Attitude toward the Brand and Purchase Intent , 2009 .
[42] Hila Becker,et al. Event Identification in Social Media , 2009, WebDB.
[43] Jon Kleinberg,et al. Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter , 2011, WWW.
[44] Eric P. Xing,et al. MedLDA: maximum margin supervised topic models , 2012, J. Mach. Learn. Res..
[45] Ana-Maria Popescu,et al. "Dancing with the Stars, " NBA Games, Politics: An Exploration of Twitter Users' Response to Events , 2011, ICWSM.
[46] Mor Naaman,et al. Is it really about me?: message content in social awareness streams , 2010, CSCW '10.
[47] Roel Popping,et al. Knowledge Graphs and Network Text Analysis , 2003 .
[48] J. Eliashberg,et al. The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions , 2006 .
[49] David L. Roberts,et al. DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation , 2011, AIIDE.
[50] Dragomir R. Radev,et al. Subgroup Detection in Ideological Discussions , 2012, ACL.
[51] Jon M. Kleinberg,et al. Echoes of power: language effects and power differences in social interaction , 2011, WWW.
[52] Michael J. Paul,et al. Summarizing Contrastive Viewpoints in Opinionated Text , 2010, EMNLP.
[53] Brendan T. O'Connor,et al. Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments , 2010, ACL.
[54] Peter Christen,et al. Event Diffusion Patterns in Social Media , 2012, ICWSM.
[55] Arjun Mukherjee,et al. Public Dialogue: Analysis of Tolerance in Online Discussions , 2013, ACL.
[56] Xu Ling,et al. Topic sentiment mixture: modeling facets and opinions in weblogs , 2007, WWW '07.
[57] Paul S Jacobs. A Knowledge-Based Approach to Language Production , 1985 .
[58] Marcus Messner,et al. Shoveling tweets: An analysis of the microblogging engagement of traditional news organizations , 2011 .
[59] Erik Qualman. Socialnomics: How Social Media Transforms the Way We Live and Do Business , 2009 .
[60] Monika Henzinger,et al. Finding near-duplicate web pages: a large-scale evaluation of algorithms , 2006, SIGIR.
[61] Sibel Adali,et al. Actions speak as loud as words: predicting relationships from social behavior data , 2012, WWW.
[62] Carolyn Penstein Rosé,et al. Making Conversational Structure Explicit: Identification of Initiation-response Pairs within Online Discussions , 2010, NAACL.
[63] Dean Keith Simonton,et al. Applying discrete choice models to predict Academy Award winners , 2008 .
[64] Renata Vieira,et al. Some clues on irony detection in tweets , 2013, WWW '13 Companion.
[65] Santosh S. Vempala,et al. Latent Semantic Indexing , 2000, PODS 2000.
[66] Danah Boyd,et al. Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.
[67] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[68] Mitsuru Ishizuka,et al. Enhancing conversational flexibility in multimodal interactions with embodied lifelike agent , 2003, IUI '03.
[69] Ewan Klein,et al. Natural Language Processing with Python , 2009 .
[70] Dean Keith Simonton,et al. Film as Art versus Film as Business: Differential Correlates of Screenplay Characteristics , 2005 .
[71] B. J. Fogg,et al. Persuasive computers: perspectives and research directions , 1998, CHI.
[72] Arild Faxvaag,et al. What Influences Patient Participation in an Online Forum for Weight Loss Surgery? A Qualitative Case Study , 2014, Interactive journal of medical research.
[73] B. J. Fogg,et al. Persuasive technology: using computers to change what we think and do , 2002, UBIQ.
[74] Starling David Hunter,et al. A Novel Method of Network Text Analysis , 2014 .
[75] Jon M. Kleinberg,et al. WWW 2009 MADRID! Track: Data Mining / Session: Opinions How Opinions are Received by Online Communities: A Case Study on Amazon.com Helpfulness Votes , 2022 .
[76] Christopher D. Manning,et al. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling , 2005, ACL.
[77] Mor Naaman,et al. Unfolding the event landscape on twitter: classification and exploration of user categories , 2012, CSCW '12.
[78] Elmer V. Bernstam,et al. Social support in an Internet weight loss community , 2010, Int. J. Medical Informatics.
[79] Cristian Danescu-Niculescu-Mizil,et al. Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in Dialogs , 2011, CMCL@ACL.
[80] Hanan Samet,et al. Identification of live news events using Twitter , 2011, LBSN '11.
[81] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[82] J. Wardle,et al. The association between weight loss and engagement with a web-based food and exercise diary in a commercial weight loss programme: a retrospective analysis , 2011, The international journal of behavioral nutrition and physical activity.
[83] N. Sherwood,et al. Long-term weight loss maintenance in the United States , 2010, International Journal of Obesity.
[84] Andrea Esuli,et al. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining , 2010, LREC.
[85] S. Ng,et al. Conversation as a resource for influence: evidence for prototypical arguments and social identification processes , 2000 .
[86] Marilyn A. Walker,et al. Stance Classification using Dialogic Properties of Persuasion , 2012, NAACL.
[87] Liu Yang,et al. Modeling interaction features for debate side clustering , 2013, CIKM.
[88] Jacob Andreas,et al. Detecting Influencers in Written Online Conversations , 2012 .
[89] Dan Klein,et al. Accurate Unlexicalized Parsing , 2003, ACL.
[90] Z. John Zhang,et al. From Story Line to Box Office: A New Approach for Green-Lighting Movie Scripts , 2007, Manag. Sci..
[91] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[92] Clinton Burfoot,et al. Using Multiple Sources of Agreement Information for Sentiment Classification of Political Transcripts , 2008, ALTA.
[93] Noah A. Smith,et al. Predicting Response to Political Blog Posts with Topic Models , 2009, NAACL.
[94] J. Pennebaker,et al. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods , 2010 .
[95] Meredith L. McGill,et al. American Literature and the Culture of Reprinting, 1834-1853 , 2002 .
[96] Francis L. F. Lee. Cultural discount of cinematic achievement: the academy awards and U.S. movies’ East Asian box office , 2009 .
[97] Lise Getoor,et al. Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction , 2013, UAI.
[98] Julia Hirschberg,et al. Charisma perception from text and speech , 2009, Speech Commun..
[99] Lise Getoor,et al. Opinion Graphs for Polarity and Discourse Classification , 2009, Graph-based Methods for Natural Language Processing.
[100] Susan T. Dumais,et al. Mark my words!: linguistic style accommodation in social media , 2011, WWW.
[101] Noah A. Smith,et al. Measuring Ideological Proportions in Political Speeches , 2013, EMNLP.
[102] Calvert Watkins. The American Heritage Dictionary of Indo-European Roots , 2011 .
[103] Philip Resnik,et al. SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations , 2012, ACL.
[104] Bernard J. Jansen,et al. Micro-blogging as online word of mouth branding , 2009, CHI Extended Abstracts.
[105] Philip Resnik,et al. Modeling topic control to detect influence in conversations using nonparametric topic models , 2014, Machine Learning.
[106] Author. Film Awards as Indicators of Cinematic Creativity and Achievement: A Quantitative Comparison of the Oscars and Six Alternatives , 2004 .
[107] John J. McCarthy,et al. A prosodic theory of nonconcatenative morphology , 1981 .
[108] Karen E. Hermann,et al. Word Formation Strategies in the Hebrew Verb System: Denominative Verbs , 1980 .
[109] Derek Ruths,et al. Classifying Political Orientation on Twitter: It's Not Easy! , 2013, ICWSM.
[110] J. Fleiss. Measuring nominal scale agreement among many raters. , 1971 .
[111] Lada A. Adamic,et al. Knowledge sharing and yahoo answers: everyone knows something , 2008, WWW.
[112] Ari Rappoport,et al. Semi-Supervised Recognition of Sarcasm in Twitter and Amazon , 2010, CoNLL.
[113] Leonard Reinecke,et al. The reciprocal effects of social network site use and the disposition for self-disclosure: A longitudinal study , 2013, Comput. Hum. Behav..
[114] Alice H. Oh,et al. Aspect and sentiment unification model for online review analysis , 2011, WSDM '11.
[115] Sucheta Nadkarni,et al. Validity of the Structural Properties of Text-Based Causal Maps: An Empirical Assessment , 2005 .
[116] Archana Bhattarai,et al. Characterizing comment spam in the blogosphere through content analysis , 2009, 2009 IEEE Symposium on Computational Intelligence in Cyber Security.
[117] V. Narayanan,et al. Strategic schemas, strategic flexibility, and firm performance: the moderating role of industry clockspeed , 2007 .
[118] Padmini Srinivasan,et al. GOP primary season on twitter: "popular" political sentiment in social media , 2013, WSDM.
[119] David Lazer,et al. Voices of victory: a computational focus group framework for tracking opinion shift in real time , 2013, WWW '13.
[120] Louis Leung,et al. Loneliness, Self-Disclosure, and ICQ ("I Seek You") Use , 2002, Cyberpsychology Behav. Soc. Netw..
[121] S. Vondracek,et al. The manipulation and measurement of self-disclosure in preadolescents. , 1971 .
[122] W. Bruce Croft,et al. Efficient indexing of repeated n-grams , 2011, WSDM '11.
[123] Swapna Somasundaran,et al. Recognizing Stances in Ideological On-Line Debates , 2010, HLT-NAACL 2010.
[124] Eric P. Xing,et al. A Mixture Model of Demographic Lexical Variation , 2011 .
[125] Barbara Di Eugenio,et al. Control and Initiative in Collaborative Problem Solving Dialogues , 1997 .
[126] S. Field. Screenplay: The Foundations of Screenwriting , 1979 .
[127] Nobuhiro Kaji,et al. Predicting and Eliciting Addressee's Emotion in Online Dialogue , 2013, ACL.
[128] Dorée D. Seligmann,et al. Power dynamics in spoken interactions: a case study on 2012 republican primary debates , 2013, WWW '13 Companion.
[129] Dan Klein,et al. An Empirical Investigation of Statistical Significance in NLP , 2012, EMNLP.
[130] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[131] J. Rippe,et al. Obesity as a chronic disease: modern medical and lifestyle management. , 1998, Journal of the American Dietetic Association.
[132] Andrew D. Martin,et al. The Public's Conditional Response to Supreme Court Decisions , 1998, American Political Science Review.
[133] T. M. Amabile. Brilliant but cruel: Perceptions of negative evaluators. , 1983 .
[134] W. Bruce Croft,et al. Local text reuse detection , 2008, SIGIR '08.
[135] Erik F. Tjong Kim Sang,et al. Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition , 2002, CoNLL.
[136] Marilyn A. Walker,et al. That is your evidence?: Classifying stance in online political debate , 2012, Decis. Support Syst..
[137] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[138] David DeVault,et al. Practical Grammar-Based NLG from Examples , 2008, INLG.
[139] Bill N. Schilit,et al. Generating links by mining quotations , 2008, Hypertext.
[140] Marilyn A. Walker,et al. A Corpus for Research on Deliberation and Debate , 2012, LREC.
[141] Matt Thomas,et al. Get out the vote: Determining support or opposition from Congressional floor-debate transcripts , 2006, EMNLP.
[142] Stephen M. Nowlis,et al. A Bite to Whet the Reward Appetite: The Influence of Sampling on Reward-Seeking Behaviors , 2008 .
[143] Madelen Bodin,et al. Mapping University Students' Epistemic Framing of Computational Physics Using Network Analysis. , 2012 .
[144] Tilman Becker,et al. Practical, Template–Based Natural Language Generation with TAG , 2002, TAG+.
[145] David Lazer,et al. Why so Similar?: Identifying Semantic Organizing Processes in Large Textual Corpora , 2013 .
[146] P. Howard,et al. Opening Closed Regimes: What Was the Role of Social Media During the Arab Spring? , 2011 .
[147] Uzzi Ornan. Machinery for Hebrew word formation , 1990 .
[148] Rafael Alonso,et al. Extracting Social Power Relationships from Natural Language , 2011, ACL.
[149] Owen Rambow,et al. Sentiment Analysis of Twitter Data , 2011 .
[150] Ana-Maria Popescu,et al. A Machine Learning Approach to Twitter User Classification , 2011, ICWSM.
[151] Oren Etzioni,et al. Open domain event extraction from twitter , 2012, KDD.
[152] Siobhan Chapman. Logic and Conversation , 2005 .
[153] Thomas L. Griffiths,et al. The Author-Topic Model for Authors and Documents , 2004, UAI.
[154] Azy Barak,et al. Degree and Reciprocity of Self-Disclosure in Online Forums , 2007, Cyberpsychology Behav. Soc. Netw..
[155] Ani Nenkova,et al. Revisiting Readability: A Unified Framework for Predicting Text Quality , 2008, EMNLP.
[156] Brian H. Spitzberg,et al. Using Group Membership Markers for Group Identification in W eb Logs , 2012 .
[157] G. Harry McLaughlin,et al. SMOG Grading - A New Readability Formula. , 1969 .
[158] Marc Langheinrich,et al. Social networking and the risk to companies and institutions , 2010, Inf. Secur. Tech. Rep..
[159] Jihie Kim,et al. An intelligent discussion-bot for answering student queries in threaded discussions , 2006, IUI '06.
[160] Brendan T. O'Connor,et al. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series , 2010, ICWSM.
[161] Adam N. Joinson,et al. Linguistic Markers of Secrets and Sensitive Self-Disclosure in Twitter , 2012, 2012 45th Hawaii International Conference on System Sciences.
[162] Ivan Titov,et al. A Joint Model of Text and Aspect Ratings for Sentiment Summarization , 2008, ACL.
[163] Kathleen M. Carley,et al. Uncovering and Managing the Impact of Methodological Choices for the Computational Construction of Socio-Technical Networks from Texts , 2012 .
[164] Jure Leskovec,et al. Meme-tracking and the dynamics of the news cycle , 2009, KDD.
[165] Kathleen M. Carley. Extracting team mental models through textual analysis , 1997 .
[166] Eric Gilbert,et al. Phrases that signal workplace hierarchy , 2012, CSCW.
[167] Ramakrishnan Srikant,et al. Mining newsgroups using networks arising from social behavior , 2003, WWW '03.
[168] Lise Getoor,et al. A short introduction to probabilistic soft logic , 2012, NIPS 2012.
[169] Robert W. Shoemaker,et al. The Effects of Free Sample Promotions on Incremental Brand Sales , 2004 .
[170] Hongfei Yan,et al. Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid , 2010, EMNLP.
[171] Regina Barzilay,et al. Event Discovery in Social Media Feeds , 2011, ACL.
[172] Raymond H. Putra,et al. Support or Oppose? Classifying Positions in Online Debates from Reply Activities and Opinion Expressions , 2010, COLING.
[173] Clayton Fink,et al. Inferring Gender from the Content of Tweets: A Region Specific Example , 2012, ICWSM.
[174] Yejin Choi,et al. Success with Style: Using Writing Style to Predict the Success of Novels , 2013, EMNLP.
[175] Dorée D. Seligmann,et al. Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power , 2013, IJCNLP.
[176] Alice H. Oh,et al. Do You Feel What I Feel? Social Aspects of Emotions in Twitter Conversations , 2012, ICWSM.
[177] Emiel Krahmer,et al. From data to speech: a general approach , 2001, Natural Language Engineering.
[178] Thomas Ashby Wills,et al. Supportive functions of interpersonal relationships. , 1985 .
[179] Micha Elsner,et al. Disentangling Chat with Local Coherence Models , 2011, ACL.
[180] Rena R Wing,et al. Teammates and Social Influence Affect Weight Loss Outcomes in a Team‐Based Weight Loss Competition , 2012, Obesity.
[181] Claire Cardie,et al. Annotating Expressions of Opinions and Emotions in Language , 2005, Lang. Resour. Evaluation.
[182] Robert McKee,et al. Story: Substance, Structure, Style, and the Principles of Screenwriting , 1997 .
[183] Yutaka Matsuo,et al. Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.
[184] Eugene Agichtein,et al. Learning to recognize reliable users and content in social media with coupled mutual reinforcement , 2009, WWW '09.
[185] R. Wing,et al. Long-term weight loss maintenance. , 2005, The American journal of clinical nutrition.
[186] A. Bambina. Online Social Support: The Interplay of Social Networks and Computer-Mediated Communication , 2007 .
[187] Isabell M. Welpe,et al. Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment , 2010, ICWSM.
[188] Oren Etzioni,et al. Named Entity Recognition in Tweets: An Experimental Study , 2011, EMNLP.
[189] Paolo Rosso,et al. A multidimensional approach for detecting irony in Twitter , 2013, Lang. Resour. Evaluation.
[190] Vincent Ng,et al. Stance Classification of Ideological Debates: Data, Models, Features, and Constraints , 2013, IJCNLP.
[191] Owen Rambow,et al. Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior , 2013, IJCNLP.
[192] Eduard H. Hovy,et al. Structured Event Retrieval over Microblog Archives , 2012, NAACL.
[193] David Krackardt,et al. QAP partialling as a test of spuriousness , 1987 .
[194] D. Ruths,et al. What's in a Name? Using First Names as Features for Gender Inference in Twitter , 2013, AAAI Spring Symposium: Analyzing Microtext.
[195] Lise Getoor,et al. Collective Classification in Network Data , 2008, AI Mag..
[196] S. Ng,et al. Interruption and Influence in Discussion Groups , 1995 .
[197] Alice H. Oh,et al. A Hierarchical Aspect-Sentiment Model for Online Reviews , 2013, AAAI.
[198] Philip S. Yu,et al. A holistic lexicon-based approach to opinion mining , 2008, WSDM '08.
[199] Mark Olsen,et al. Something Borrowed: Sequence Alignment and the Identification of Similar Passages in Large Text Collections , 2011 .
[200] Max Welling,et al. Distributed Algorithms for Topic Models , 2009, J. Mach. Learn. Res..
[201] David Yarowsky,et al. Stylometric Analysis of Scientific Articles , 2012, NAACL.
[202] Rob Malouf,et al. Taking sides: user classification for informal online political discourse , 2008, Internet Res..
[203] Carlo Strapparava,et al. CORPS: A Corpus of Tagged Political Speeches for Persuasive Communication Processing , 2008 .
[204] Claire Cardie,et al. Multi-Level Structured Models for Document-Level Sentiment Classification , 2010, EMNLP.
[205] G. Johnson,et al. Ceos' cognitive maps and the scope of the organization , 1994 .
[206] Brendan T. O'Connor,et al. Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters , 2013, NAACL.
[207] Heeyoung Lee,et al. Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task , 2011, CoNLL Shared Task.
[208] Paul W. Ballantine,et al. Help me, I'm fat! Social support in online weight loss networks , 2011 .
[209] Brendan T. O'Connor,et al. A Latent Variable Model for Geographic Lexical Variation , 2010, EMNLP.
[210] A. Joinson,et al. Self-disclosure, Privacy and the Internet , 2009 .
[211] Alan Ritter,et al. Unsupervised Modeling of Twitter Conversations , 2010, NAACL.
[212] Gregory A. Caldeira,et al. Measuring Attitudes toward the United States Supreme Court , 2003 .
[213] Predrag V. Klasnja,et al. Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research , 2013, CHI.
[214] Matthew Hurst,et al. Event Detection and Tracking in Social Streams , 2009, ICWSM.
[215] Jonathan Anderson. Lix and Rix: Variations on a Little-Known Readability Index. , 1983 .
[216] Z. John Zhang,et al. Assessing Box Office Performance Using Movie Scripts: A Kernel-Based Approach , 2014, IEEE Transactions on Knowledge and Data Engineering.
[217] S. Ng,et al. Gaining turns and achieving high influence ranking in small conversational groups , 1993 .
[218] N. Ellison,et al. Social capital, self-esteem, and use of online social network sites: A longitudinal analysis , 2008 .
[219] Tong Wang,et al. Automatic Acquisition of Lexical Formality , 2010, COLING.
[220] Zornitsa Kozareva,et al. Determining the Polarity and Source of Opinions Expressed in Political Debates , 2009, CICLing.
[221] Peter A. Gloor,et al. Predicting Movie Success and Academy Awards through Sentiment and Social Network Analysis , 2008, ECIS.
[222] Kristina Shampanier,et al. Zero as a Special Price: The True Value of Free Products , 2007 .
[223] Gilad Mishne,et al. Finding high-quality content in social media , 2008, WSDM '08.
[224] Gilad Mishne. Multiple Ranking Strategies for Opinion Retrieval in Blogs - The University of Amsterdam at the 2006 TREC Blog Track , 2006, TREC.
[225] David Yarowsky,et al. Classifying latent user attributes in twitter , 2010, SMUC '10.
[226] Rok Sosic,et al. NIFTY: a system for large scale information flow tracking and clustering , 2013, WWW.
[227] S. Nadkarni. Instructional Methods and Mental Models of Students: An Empirical Investigation , 2003 .
[228] Claire Cardie,et al. The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework , 2008, COLING.
[229] R. Manmatha,et al. Partial duplicate detection for large book collections , 2011, CIKM '11.
[230] Michael I. Jordan,et al. Hierarchical Dirichlet Processes , 2006 .
[231] M. Coleman,et al. A computer readability formula designed for machine scoring. , 1975 .
[232] Jocelyn M. DeGroot,et al. Attitudes Toward Online Social Connection and Self-Disclosure as Predictors of Facebook Communication and Relational Closeness , 2011, Commun. Res..
[233] Daniel Marcu,et al. Discourse Generation Using Utility-Trained Coherence Models , 2006, ACL.
[234] Krishna P. Gummadi,et al. On the evolution of user interaction in Facebook , 2009, WOSN '09.
[235] Mário J. Silva,et al. Clues for detecting irony in user-generated contents: oh...!! it's "so easy" ;-) , 2009, TSA@CIKM.
[236] Duncan J. Watts,et al. Who says what to whom on twitter , 2011, WWW.
[237] Xuanjing Huang,et al. Detecting Spammers in Community Question Answering , 2013, IJCNLP.
[238] Sriram Subramanian,et al. Talking about tactile experiences , 2013, CHI.
[239] Gregory A. Caldeira,et al. Citizens, Courts, and Confirmations: Positivity Theory and the Judgments of the American People , 2009 .
[240] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.
[241] Jacob Ratkiewicz,et al. Predicting the Political Alignment of Twitter Users , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.
[242] Janyce Wiebe,et al. Articles: Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis , 2009, CL.
[243] David M. Blei,et al. Probabilistic topic models , 2012, Commun. ACM.
[244] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[245] Marilyn A. Walker,et al. Mixed Initiative in Dialogue: An Investigation into Discourse Segmentation , 1990, ACL.
[246] Tomek Strzalkowski,et al. Modeling Leadership and Influence in Multi-party Online Discourse , 2012, COLING.