COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis

Kim Schouten, Flavius Frasincar, Franciska de Jong

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

19 Citations (Scopus)

Abstract

In this paper, the crucial ingredients for our submission to SemEval-2014 Task 4 “Aspect Level Sentiment Analysis” are discussed. We present a simple aspect detection algorithm, a co-occurrence based method for category detection and a dictionary based sentiment classification algorithm. The dictionary for the latter is based on co-occurrences as well. The failure analysis and related work section focus mainly on the category detection method as it is most distinctive for our work.

Original languageEnglish
Title of host publication8th International Workshop on Semantic Evaluation (SemEval 2014)
EditorsPreslav Nakov, Torsten Zesch
PublisherAssociation for Computational Linguistics (ACL)
Pages203-207
Number of pages5
ISBN (Electronic)9781941643242
Publication statusPublished - 2014
Event8th International Workshop on Semantic Evaluation, SemEval 2014 - Dublin, Ireland
Duration: 23 Aug 201424 Aug 2014

Conference

Conference8th International Workshop on Semantic Evaluation, SemEval 2014
Country/TerritoryIreland
CityDublin
Period23/08/1424/08/14

Bibliographical note

Funding Information:
The authors are partially supported by the Dutch national program COMMIT.

Publisher Copyright:
© 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings. All rights reserved.

Research programs

  • ESE - E&MS

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