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Home / Proceedings / Papers from the 2013 AAAI Spring Symposium /

No. 1: Analyzing Microtext

All Papers

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

    Graham Neubig, Kevin Duh

    PDF
  • 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

    PDF
  • Hedge Detection Using a Rewards and Penalties Approach

    Ken Stahl, Samira Shaikh, Tomek Strzalkowski

    PDF
  • Characterizing Online Discussions in Microblogs Using Network Analysis

    Veronika Strnadova, David Jurgens, Tsai-Ching Lu

    PDF
  • The Ubuntu Chat Corpus for Multiparticipant Chat Analysis

    David C. Uthus, David W. Aha

    PDF
  • Preface

    Eduard Hovy, Vita Markman, Craig Martell, David Uthus

    PDF
  • Identifying Tag Word Counterparts for Dr. Math

    Bertram Haskins, Reinhardt A. Botha

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

    Wendy Liu, Derek Ruths

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

    George K. Mikros, Kostas Perifanos

    PDF
  • Modeling Microtext with Higher Order Learning

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

    PDF

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