Preference Estimation for SNS Fan Pages Based on Statistical Information

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.