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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Bibliographic Details
Main Author: Saias, jose (author)
Other Authors: Fernandes, Hilário (author)
Format: article
Language:eng
Published: 2014
Subjects:
opinion mining
sentiment analysis
NLP
Machine Learning
Online Access:http://hdl.handle.net/10174/10342
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/10342

Internet

http://hdl.handle.net/10174/10342

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