No. 1: Analyzing Microtext

All Papers

• How Much Is Said in a Tweet? A Multilingual, Information-theoretic Perspective

  Graham Neubig, Kevin Duh

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• Analyzing Political Sentiment on Twitter

  Martin Ringsquandl, Dusan Petkovic

  PDF

• Dynamic Microcluster Chains in Microtext

  Jason R. Robinson, Sherri Lee Condon

  PDF

• Part of Speech Tagging Bilingual Speech Transcripts with Intrasentential Model Switching

  Paul Rodrigues, Sandra Kübler

  PDF

• Reliably Evaluating Summaries of Twitter Timelines

  Dominic Paul Rout, Kalina Bontcheva, Mark Hepple

  PDF

• Toward Personality Insights from Language Exploration in Social Media

  Hansen Andrew Schwartz, Johannes C. Eichstaedt, Lukasz Dziurzynski, Margaret L. Kern, Eduardo Blanco, Michal Kosinski, David Stillwell, Martin E. P. Seligman, Lyle H. Ungar

  PDF

• A CCG-Based Approach to Fine-Grained Sentiment Analysis in Microtext

  Phillip Smith, Mark Lee

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• Hedge Detection Using a Rewards and Penalties Approach

  Ken Stahl, Samira Shaikh, Tomek Strzalkowski

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• Characterizing Online Discussions in Microblogs Using Network Analysis

  Veronika Strnadova, David Jurgens, Tsai-Ching Lu

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• The Ubuntu Chat Corpus for Multiparticipant Chat Analysis

  David C. Uthus, David W. Aha

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• Preface

  Eduard Hovy, Vita Markman, Craig Martell, David Uthus

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• Identifying Tag Word Counterparts for Dr. Math

  Bertram Haskins, Reinhardt A. Botha

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• What’s in a Name? Using First Names as Features for Gender Inference in Twitter

  Wendy Liu, Derek Ruths

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• Authorship Attribution in Greek Tweets Using Author’s Multilevel N-Gram Profiles

  George K. Mikros, Kostas Perifanos

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• Modeling Microtext with Higher Order Learning

  Christie L. Nelson, Hannah Keiler, William M. Pottenger

  PDF