Repositori institucional URV
| URV's Author/s: | Moreno Ribas, Antonio |
| Author, as appears in the article.: | Jabreel M; Moreno A |
| Author's mail: | antonio.moreno@urv.cat |
| Author identifier: | 0000-0003-3945-2314 |
| Journal publication year: | 2017 |
| Publication Type: | Proceedings Paper |
| APA: | Jabreel M; Moreno A (2017). SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features. |
| Papper original source: | Proceedings Of The Annual Meeting Of The Association For Computational Linguistics. 694-699 |
| Abstract: | This paper describes SiTAKA, our system that has been used in task 4A, English and Arabic languages, Sentiment Analysis in Twitter of SemEval2017. The system proposes the representation of tweets using a novel set of features, which include a bag of negated words and the information provided by some lexicons. The polarity of tweets is determined by a classifier based on a Support Vector Machine. Our system ranks 2nd among 8 systems in the Arabic language tweets and ranks 8th among 38 systems in the English-language tweets. |
| Link to the original source: | https://aclanthology.org/S17-2115/ |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Informàtica i Matemàtiques |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-10-12 |
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