Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/21321
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| Title: | ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter |
| Authors: | Dovdon, Enkhzol
Saias, José |
| Keywords: | NLP
Classification
Opinion Mining
Sentiment Analysis |
| Issue Date: | 3-Aug-2017 |
| Publisher: | ACL |
| Citation: | E. Dovdon and J. Saias (2017). “ej-sa-2017 at semeval-2017 task 4: Experiments for target oriented sentiment analysis in twitter,” in Proceedings of the 11th International Workshop o
n Semantic Evaluation (SemEval-2017), (Vancouver, Canada), pp. 635–638, Association for Computational Linguistics |
| Abstract: | This paper describes the system we have
used for participating in Subtasks A (Message Polarity Classification) and B (Topic Based Message Polarity Classification according to a two-point scale) of SemEval2017 Task 4 Sentiment Analysis in Twitter.
We used several features with a sentiment lexicon and NLP techniques, Maximum
Entropy as a classifier for our system. |
| URI: | http://www.aclweb.org/anthology/S/S17/S17-2106.pdf
http://hdl.handle.net/10174/21321 |
| Type: | article |
| Appears in Collections: | INF - Artigos em Livros de Actas/Proceedings
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