With the advent of World Wide Web and the widespread of on-line collaborative tools, there is a increasing interest towards automatic tools for Sentiment Analysis to provide a quantitative measure of "positivity" or "negativity" about opinions or social comments. In this paper, we provide an overview of the most diffused techniques for sentiment analysis based on the lexical-based approaches as a quick reference guide in the choice of the most suitable methods for solving a specific problem in the sentiment analysis field.

A quick survey on Sentiment Analysis techniques: A lexical based perspective / Amato, Flora; Colace, Francesco; Greco, Luca; Moscato, Vincenzo; Picariello, Antonio. - (2015), pp. 62-64. (Intervento presentato al convegno 21st International Conference on Distributed Multimedia Systems, DMS 2015 tenutosi a Vancouver (Canada) nel 31 August - 2 September, 2015) [10.18293/VLSS2015-02].

A quick survey on Sentiment Analysis techniques: A lexical based perspective

AMATO, FLORA;MOSCATO, VINCENZO;PICARIELLO, ANTONIO
2015

Abstract

With the advent of World Wide Web and the widespread of on-line collaborative tools, there is a increasing interest towards automatic tools for Sentiment Analysis to provide a quantitative measure of "positivity" or "negativity" about opinions or social comments. In this paper, we provide an overview of the most diffused techniques for sentiment analysis based on the lexical-based approaches as a quick reference guide in the choice of the most suitable methods for solving a specific problem in the sentiment analysis field.
2015
1891706381
A quick survey on Sentiment Analysis techniques: A lexical based perspective / Amato, Flora; Colace, Francesco; Greco, Luca; Moscato, Vincenzo; Picariello, Antonio. - (2015), pp. 62-64. (Intervento presentato al convegno 21st International Conference on Distributed Multimedia Systems, DMS 2015 tenutosi a Vancouver (Canada) nel 31 August - 2 September, 2015) [10.18293/VLSS2015-02].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/655754
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