Sentiment Analysis: Publicly available datasets

DIANA, C. CAVALCANTI (2015) Sentiment Analysis: Publicly available datasets. In: Third International Conference on Advances in Computing, Electronics and Communication - ACEC 2015, 10-11 October, 2015, Zurich, Switzerland.

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Sentiment analysis includes computational techniques to understand opinions and sentiment in texts. Several studies have explored supervised and unsupervised methods for sentiment classification covering natural language processing techniques, information retrieval and lexical resources. Training and testing data are appropriate from documents since each review has already labeled. This paper describes labeled datasets publicly available for sentiment classification problem.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: sentiment analysis, dataset, public, online
Depositing User: Mr. John Steve
Date Deposited: 19 Apr 2019 12:07
Last Modified: 19 Apr 2019 12:07

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