José Saias

2017

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ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
Enkhzol Dovdon | José Saias
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

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 SemEval-2017 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.

2015

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Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12
José Saias
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

2014

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Senti.ue: Tweet Overall Sentiment Classification Approach for SemEval-2014 Task 9
José Saias
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

2013

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senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
José Saias | Hilário Fernandes
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

2011

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Semantic Networks and Spreading Activation Process for QA improvement on text answers
José Saias | Paulo Quaresma
Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology

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