INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines

Tiago Zini; Karin Becker; Marcelo Dias

2017 SemEval SemEval 2017

INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Tiago Zini, Karin Becker, Marcelo Dias

Topics

Machine Learning > Core Methods > Regression Machine Learning > Learning Types > Supervised Learning Natural Language Processing > Applications > Sentiment Analysis

Keywords

feature extraction sentiment analysis support vector regression regression model n-gram feature financial news polarity score

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