Preference Estimation for SNS Fan Pages Based on Statistical Information

Abstract

It is important to identify the preferred features of sentences in many 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 importance of words in sentences. We conducted evaluation experiments, which showed that; 1) IDF is effective for both English and Japanese; 2) the estimated and actual preference level were correlated.