Preference estimation for SNS fan pages based on statistical information

Hiroaki Yamane, Masafumi Hagiwara

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

It is important to identify the preferred features of sentences in different contexts. In particular, many people are increasingly using communication tools such as SNS and it is becoming easier to obtain user data. In this study, we estimate the preference for sentences in Facebook. More specifically, we try to improve the estimation of the importance of words in actual sentences. We conducted evaluation experiments, which showed that 1) inverse document frequency (IDF) is effective for both English and Japanese; 2) the estimated and actual preference levels were correlated.

元の言語English
ホスト出版物のタイトルProceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
ページ397-401
ページ数5
DOI
出版物ステータスPublished - 2013 12 1
イベント2013 12th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013 - Atlanta, GA, United States
継続期間: 2013 11 172013 11 20

出版物シリーズ

名前Proceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
1

Other

Other2013 12th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
United States
Atlanta, GA
期間13/11/1713/11/20

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence

これを引用

Yamane, H., & Hagiwara, M. (2013). Preference estimation for SNS fan pages based on statistical information. : Proceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013 (pp. 397-401). [6690042] (Proceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013; 巻数 1). https://doi.org/10.1109/WI-IAT.2013.56