Sentiment analysis of Facebook statuses using Naive Bayes classifier for language learning

Abstract

The growing expansion of contents, placed on the Web, provides a huge collection of textual resources. People share their experiences, opinions or simply talk just about whatever concerns them online. The large amount of available data attracts system developers, studying on automatic mining and analysis. In this paper, the primary and underlying idea is… (More)
DOI: 10.1109/IISA.2013.6623713

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Cite this paper

@article{Troussas2013SentimentAO, title={Sentiment analysis of Facebook statuses using Naive Bayes classifier for language learning}, author={Christos Troussas and Maria Virvou and Kurt Junshean Espinosa and Kevin Llaguno and Jaime Caro}, journal={IISA 2013}, year={2013}, pages={1-6} }