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Computer Science

D-Index
48
Citations
11381
World Ranking
6105
National Ranking
2746

Overview

Michael Gamon is affiliated with Microsoft in the United States and has contributed to research primarily in the fields of computer science and psychology. Their work spans several subfields including artificial intelligence, social psychology, experimental and cognitive psychology, information systems, and visual arts and performing arts.

The researcher has published extensively on topics that include:

  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Humor Studies and Applications
  • Comics and Graphic Narratives
  • Expert Finding and Q&A Systems
  • Language, Metaphor, and Cognition

Frequent venues for their publications include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Notable recent papers authored or coauthored by Michael Gamon are:

  • "Predicting Depression via Social Media", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "BLEWS: Using Blogs to Provide Context for News Articles", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Happy, Nervous or Surprised? Classification of Human Affective States in Social Media", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "SemEval-2020 Task 7: Assessing Humor in Edited News Headlines", 2020, Zenodo (CERN European Organization for Nuclear Research)

Michael Gamon's collaboration network includes frequent coauthors:

  • Sunil Kumar Jauhar
  • Scott Counts
  • Nirupama Chandrasekaran
  • Nabil Hossain
  • John Krumm

Best Publications

  • Predicting Depression via Social Media

    Munmun De Choudhury;Michael Gamon;Scott Counts;Eric Horvitz

  • Representing Text for Joint Embedding of Text and Knowledge Bases

    Kristina Toutanova;Danqi Chen;Patrick Pantel;Hoifung Poon

  • Pulse: mining customer opinions from free text

    Michael Gamon;Anthony Aue;Simon Corston-Oliver;Eric Ringger

  • Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis

    Michael Gamon

  • Customizing Sentiment Classifiers to New Domains: a Case Study

    Anthony Aue;Michael Gamon

  • Mark my words!: linguistic style accommodation in social media

    Cristian Danescu-Niculescu-Mizil;Michael Gamon;Susan Dumais

  • Correcting ESL Errors Using Phrasal SMT Techniques

    Chris Brockett;William B. Dolan;Michael Gamon

  • System for processing sentiment-bearing text

    Simon H. Corston-Oliver;Anthony Aue;Eric K. Ringger;Michael Gamon

  • Linguistic correlates of style: authorship classification with deep linguistic analysis features

    Michael Gamon

  • Modeling Interestingness with Deep Neural Networks

    Jianfeng Gao;Patrick Pantel;Michael Gamon;Xiaodong He

  • Automatic task extraction and calendar entry

    Michael Gamon;Saliha Azzam;Yizheng Cai;Nicholas Caldwell

  • Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media

    Munmun De Choudhury;Scott Counts;Michael Gamon

  • Sentence realization model for a natural language generation system

    Simon Corston-Oliver;Michael Gamon;Eric Ringger;Robert C. Moore

  • Smart selection of text spans

    Patrick Pantel;Michael Gamon;Ariel Damian Fuxman;Bernhard Kohlmeier

  • Task-Focused Summarization of Email

    Simon Corston-Oliver;Eric Ringger;Michael Gamon;Richard Campbell

  • Using Contextual Speller Techniques and Language Modeling for ESL Error Correction

    Michael Gamon;Jianfeng Gao;Chris Brockett;Alexandre Klementiev

  • The utility of article and preposition error correction systems for English language learners: Feedback and assessment:

    Martin Chodorow;Michael Gamon;Joel Tetreault

  • Language usage classifier

    Michael Gamon;William Dolan;Christopher Brockett

  • Systems and methods that determine intent of data and respond to the data based on the intent

    David R. Reed;Eric K. Ringger;Michael Gamon;Richard G. Campbell

  • Sentence-level MT evaluation without reference translations: Beyond language modeling

    Michael Gamon;Anthony Aue;Martine Smets

  • A Machine Learning Approach to the Automatic Evaluation of Machine Translation

    Simon Corston-Oliver;Michael Gamon;Chris Brockett

Frequent Co-Authors

Patrick Pantel
Patrick Pantel Facebook (United States)
Robert C. Moore
Robert C. Moore Google (United States)
Chris Brockett
Chris Brockett Microsoft (United States)
Ryen W. White
Ryen W. White Microsoft (United States)
William B. Dolan
William B. Dolan Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Scott Counts
Scott Counts Microsoft (United States)
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Lucy Vanderwende
Lucy Vanderwende University of Washington
Eric Horvitz
Eric Horvitz Microsoft (United States)

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