Please use this identifier to cite or link to this item:
|Title: ||ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter|
|Authors: ||Dovdon, Enkhzol|
|Issue Date: ||3-Aug-2017|
|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.|
|Appears in Collections:||INF - Artigos em Livros de Actas/Proceedings|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.