senti.ue-en: an approach for informally written short texts in semeval-2013 sentiment analysis task
This article describes a Sentiment Analysis (SA) system named senti.ue-en, built for participation in SemEval-2013 Task 2, a Twitter SA challenge. In both challenge subtasks we used the same supervised machine learning approach, including two classifiers in pipeline, with 22 semantic oriented featur...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2014
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| Texto completo: | http://hdl.handle.net/10174/10342 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/10342 |