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Biocom_Usp: tweet sentiment analysis with adaptive boosting ensemble
Fecha
2014-08Registro en:
International Workshop on Semantic Evaluation, 8th, 2014, Dublin.
9781941643242
Autor
Silva, Nádia Félix Felipe da
Hruschka, Eduardo Raul
Hruschka Junior, Estevam Rafael
Institución
Resumen
We describe our approach for the SemEval-2014 task 9: Sentiment Analysis in Twitter. We make use of an ensemble learning method for sentimento classification of tweets that relies on varied features such as feature hashing, part-of-speech, and lexical features. Our system was evaluated in the Twitter message-level task.