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A comprehensive survey for sentiment analysis tasks using machine learning techniques | IEEE Conference Publication | IEEE Xplore

A comprehensive survey for sentiment analysis tasks using machine learning techniques


Abstract:

Sentiment analysis is one of the most popular research topics in last years. There are lots of data on web which require analysis in order for them to become useful. Many...Show More

Abstract:

Sentiment analysis is one of the most popular research topics in last years. There are lots of data on web which require analysis in order for them to become useful. Many researchers have focused on making sense of these data. Therefore, sentiment analysis concept is proposed. Sentiment analysis methods try to emerge any opinions, feelings, and subjectivity behind the text. Machine learning algorithms and vocabulary based methods are used to perform sentiment analysis. In this research, (i) recently studied researches on machine learning based sentiment analysis are investigated to give background; (ii) they are classified according to their tasks on extracting information; (iii) the encountered and potential challenges on this research topic are revisited and discussed.
Date of Conference: 02-05 August 2016
Date Added to IEEE Xplore: 22 September 2016
ISBN Information:
Conference Location: Sinaia, Romania

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