Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter

  • Athanasia Kolovou
  • , Filippos Kokkinos
  • , Aris Fergadis
  • , Pinelopi Papalampidi
  • , Elias Iosif
  • , Nikolaos Malandrakis
  • , Elisavet Palogiannidi
  • , Harris Papageorgiou
  • , Shrikanth Narayanan
  • , Alexandros Potamianos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we describe our submission to SemEval2017 Task 4: Sentiment Analysis in Twitter. Specifically the proposed system participated both to tweet polarity classification (two-, three- and five class) and tweet quantification (two and five-class) tasks. The submitted system is based on “Tweester” (Palogiannidi et al., 2016) that participated in last year's Sentiment analysis in Twitter Tasks A and B. Specifically it comprises of multiple independent models such as neural networks, semantic-affective models and affective models inspired by topic modeling that are combined in a late fusion scheme.

Original languageEnglish
Title of host publicationACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages675-682
Number of pages8
ISBN (Electronic)9781945626555
Publication statusPublished - 2017
Externally publishedYes
Event11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 - Vancouver, Canada
Duration: 3 Aug 20174 Aug 2017

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

Conference11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
Country/TerritoryCanada
CityVancouver
Period3/08/174/08/17

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