Paper: Automatic Generation of Personalized Annotation Tags for Twitter Users

ACL ID N10-1101
Title Automatic Generation of Personalized Annotation Tags for Twitter Users
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

This paper introduces a system designed for automatically generating personalized annota- tion tags to label Twitter user’s interests and concerns. We applied TFIDF ranking and TextRank to extract keywords from Twitter messagestotagtheuser. Theusertaggingpre- cision we obtained is comparable to the preci- sionofkeywordextractionfromwebpagesfor content-targeted advertising.