Preference estimation for SNS fan pages based on statistical information

Hiroaki Yamane, Masafumi Hagiwara

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

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
Pages397-401
Number of pages5
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 12th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013 - Atlanta, GA, United States
Duration: 2013 Nov 172013 Nov 20

Publication series

NameProceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
Volume1

Other

Other2013 12th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
CountryUnited States
CityAtlanta, GA
Period13/11/1713/11/20

Keywords

  • Facebook
  • Preference
  • SNS
  • Statistical analysis

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Yamane, H., & Hagiwara, M. (2013). Preference estimation for SNS fan pages based on statistical information. In 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; Vol. 1). https://doi.org/10.1109/WI-IAT.2013.56