User Interest Modeling in Twitter with Named Entity Recognition
Deniz Karatay, Pınar Karagöz · OpenMETU (Middle East Technical University) · 2015
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).