User Interest Modeling in Twitter with Named Entity Recognition

Date

2015-05-18

Author

Karatay, Deniz
Karagöz, Pınar

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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).

Subject Keywords

Named Entity Recognition, Tweet Ranking

URI

https://hdl.handle.net/11511/86426
https://www.scopus.com/record/display.uri?eid=2-s2.0-84938517055&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=48e5fe9385decb5dbe06609ef43e9c26&sot=b&sdt=b&sl=79&s=TITLE-ABS-KEY+%28User+Interest+Modeling+in+Twitter+with+Named+Entity+Recognition%29&relpos=0&citeCnt=3&searchTerm=

Conference Name

International Conference on the World Wide Web, WWW 2015; 18 May 2015 through

Collections

Department of Computer Engineering, Conference / Seminar

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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.