Polarity estimation of tweets by feature sets

Toshihiko Sakai, Kiyota Hashimoto, Yuya Kamisoyama, Makoto Okada, Sachio Hirokawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抜粋

Sentiment analysis of micro-blogs, such as twitter, is one of the hottest topics. The speed of information propagation is becoming faster and faster. We cannot control the flow of information on tweets. So, we need to know the characteristics of such communication tools. The present paper extracts the features of emotional tweets, based on feature selection by SVM. An attention is paid to part of speech, particularly to the particles.

元の言語英語
ホスト出版物のタイトル25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and 4th International Symposium on Sensor Network and Application, SNA 2012
ページ105-110
ページ数6
出版物ステータス出版済み - 2012
イベント25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and the 4th International Symposium on Sensor Network and Application, SNA 2012 - New Orleans, LA, 米国
継続期間: 11 14 201211 16 2012

その他

その他25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and the 4th International Symposium on Sensor Network and Application, SNA 2012
米国
New Orleans, LA
期間11/14/1211/16/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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  • これを引用

    Sakai, T., Hashimoto, K., Kamisoyama, Y., Okada, M., & Hirokawa, S. (2012). Polarity estimation of tweets by feature sets. : 25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and 4th International Symposium on Sensor Network and Application, SNA 2012 (pp. 105-110)