Sciweavers

Share
NAACL
2010

Automatic Generation of Personalized Annotation Tags for Twitter Users

8 years 6 months ago
Automatic Generation of Personalized Annotation Tags for Twitter Users
This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user's interests and concerns. We applied TFIDF ranking and TextRank to extract keywords from Twitter messages to tag the user. The user tagging precision we obtained is comparable to the precision of keyword extraction from web pages for content-targeted advertising.
Wei Wu, Bin Zhang, Mari Ostendorf
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where NAACL
Authors Wei Wu, Bin Zhang, Mari Ostendorf
Comments (0)
books