TY - GEN
T1 - Emotional video ranking based on user comments
AU - Murakami, Naomichi
AU - Ito, Eisuke
PY - 2011
Y1 - 2011
N2 - Nowadays, a lot of people post various contents to the video sharing services. To find good contents, it is necessary something high-quality content search and contents classification method, and the method should understand user's taste and user's context. In this paper, we propose a ranking method based on viewer's comments, especially amount of "funny" feelings comments given by consumer. We also evaluate the questionnaire for our method. Our proposed method is assumed to be applicable to all types of content, if it given a lot of comments from people.
AB - Nowadays, a lot of people post various contents to the video sharing services. To find good contents, it is necessary something high-quality content search and contents classification method, and the method should understand user's taste and user's context. In this paper, we propose a ranking method based on viewer's comments, especially amount of "funny" feelings comments given by consumer. We also evaluate the questionnaire for our method. Our proposed method is assumed to be applicable to all types of content, if it given a lot of comments from people.
UR - http://www.scopus.com/inward/record.url?scp=84856911141&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856911141&partnerID=8YFLogxK
U2 - 10.1145/2095536.2095639
DO - 10.1145/2095536.2095639
M3 - Conference contribution
AN - SCOPUS:84856911141
SN - 9781450307840
T3 - ACM International Conference Proceeding Series
SP - 499
EP - 502
BT - iiWAS2011 - 13th International Conference on Information Integration and Web-Based Applications and Services
T2 - 13th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2011
Y2 - 5 December 2011 through 7 December 2011
ER -