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.
Titolo: | A Quick Survey on Sentiment Analysis Techniques: a lexical based perspective | |
Autori: | ||
Data di pubblicazione: | 2015 | |
Rivista: | ||
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. | |
Handle: | http://hdl.handle.net/11386/4649313 | |
Appare nelle tipologie: | 1.1 Articoli su Rivista |
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