TY - GEN
T1 - Preference estimation for SNS fan pages based on statistical information
AU - Yamane, Hiroaki
AU - Hagiwara, Masafumi
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Facebook
KW - Preference
KW - SNS
KW - Statistical analysis
UR - http://www.scopus.com/inward/record.url?scp=84893234433&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893234433&partnerID=8YFLogxK
U2 - 10.1109/WI-IAT.2013.56
DO - 10.1109/WI-IAT.2013.56
M3 - Conference contribution
AN - SCOPUS:84893234433
SN - 9781479929023
T3 - Proceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
SP - 397
EP - 401
BT - Proceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
T2 - 2013 12th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013
Y2 - 17 November 2013 through 20 November 2013
ER -