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NILC_USP: An Improved Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho
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Lucas Avanço
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Thiago Pardo
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Maria das Graças Volpe Nunes
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
*SEMEVAL |
SIG: SIGLEX
Citations
URL
JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest
Oliver Dürr
|
Fatih Uzdilli
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Mark Cieliebak
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http://creativecommons.org/licenses/by/4.0/
http://scikit-learn.org/
https://github.com/pedrobalage
Field Of Study
Task
Tagging
Sentiment Analysis
Language
English
Dataset
Twitter
Blogs
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