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 language | English |
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| Title of host publication | 8th International Workshop on Semantic Evaluation (SemEval 2014) |
| Editors | Preslav Nakov, Torsten Zesch |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 203-207 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781941643242 |
| Publication status | Published - 2014 |
| Event | 8th International Workshop on Semantic Evaluation, SemEval 2014 - Dublin, Ireland Duration: 23 Aug 2014 → 24 Aug 2014 |
Conference
| Conference | 8th International Workshop on Semantic Evaluation, SemEval 2014 |
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| Country/Territory | Ireland |
| City | Dublin |
| Period | 23/08/14 → 24/08/14 |
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