User Interest Modeling in Twitter with Named Entity Recognition

2015-05-18
Karatay, Deniz
Karagöz, Pınar
Considering wide use of Twitter as the source of information, reaching an interesting tweet for a user among a bunch of tweets is challenging. In this work we propose a Named Entity Recognition (NER) based user profile modeling for Twitter users and employ this model to generate personalized tweet recommendations. Effectiveness of the proposed method is shown through a set of experiments. Copyright © 2015 held by author(s).
Citation Formats
D. Karatay and P. Karagöz, “User Interest Modeling in Twitter with Named Entity Recognition,” Florence; Italy, 2015, p. 17, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/86426.