Opinion retrieval systems using tweet-external factors

Yoon Sung Kim, Young In Song, Hae-Chang Rim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Opinion mining is a natural language processing technique which extracts subjective information from natural language text. To estimate an opinion about a query in large data collection, an opinion retrieval system that retrieves subjective and relevant information about the query can be useful. We present an opinion retrieval system that retrieves subjective and query-relevant tweets from Twitter, which is a useful source of obtaining real-time opinions. Our system outperforms previous opinion retrieval systems, and it further provides subjective information about Twitter authors and hashtags to describe their subjective tendencies.

Original languageEnglish
Title of host publicationCOLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016
Subtitle of host publicationSystem Demonstrations
PublisherAssociation for Computational Linguistics, ACL Anthology
Pages126-130
Number of pages5
ISBN (Print)9784879747037
Publication statusPublished - 2016 Jan 1
Event26th International Conference on Computational Linguistics, COLING 2016 - Osaka, Japan
Duration: 2016 Dec 112016 Dec 16

Other

Other26th International Conference on Computational Linguistics, COLING 2016
CountryJapan
CityOsaka
Period16/12/1116/12/16

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics
  • Computational Theory and Mathematics

Fingerprint Dive into the research topics of 'Opinion retrieval systems using tweet-external factors'. Together they form a unique fingerprint.

  • Cite this

    Kim, Y. S., Song, Y. I., & Rim, H-C. (2016). Opinion retrieval systems using tweet-external factors. In COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations (pp. 126-130). Association for Computational Linguistics, ACL Anthology.