Polarity estimation of tweets by feature sets

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publication25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and 4th International Symposium on Sensor Network and Application, SNA 2012
    Pages105-110
    Number of pages6
    Publication statusPublished - 2012
    Event25th 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, United States
    Duration: Nov 14 2012Nov 16 2012

    Other

    Other25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and the 4th International Symposium on Sensor Network and Application, SNA 2012
    CountryUnited States
    CityNew Orleans, LA
    Period11/14/1211/16/12

    All Science Journal Classification (ASJC) codes

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

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