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Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble (2014)
by
Nádia F. F. Silva
,
Eduardo R. Hruschka
,
Estevam Rafael
| Venue: | The 8th International Workshop on Semantic Evaluation (SemEval 2014). Proceedings of the Workshop (pp 123128 |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Silva14biocomusp:,
author = {Nádia F. F. Silva and Eduardo R. Hruschka and Estevam Rafael},
title = {Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble},
booktitle = {The 8th International Workshop on Semantic Evaluation (SemEval 2014). Proceedings of the Workshop (pp 123128},
year = {2014}
}
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Abstract
We describe our approach for the SemEval-2014 task 9: Sentiment Analy-sis in Twitter. We make use of an en-semble learning method for sentiment classification of tweets that relies on varied features such as feature hash-ing, part-of-speech, and lexical fea-tures. Our system was evaluated in the Twitter message-level task. 1
