A Brief Review on the Use of Sentiment Analysis Approaches in Social Networks View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-10-12

AUTHORS

Francisco Javier Ramírez-Tinoco , Giner Alor-Hernández , José Luis Sánchez-Cervantes , Beatriz Alejandra Olivares-Zepahua , Lisbeth Rodríguez-Mazahua

ABSTRACT

Sentiment analysis is the study of subjective information, for example, opinions, sentiments and beliefs that people express about different topics. In recent years, its importance has grown because a large amount of this type of information has been generated daily in social networks, which can be used to obtain various benefits. There are several research works about sentiment analysis, but very few of them compare the use of sentiment analysis approaches and methods among various social networks. Therefore, the objective of this document is to provide a brief review of the most relevant works related to sentiment analysis and social networks, which shows the main findings regarding the tendencies of using the main sentiment analysis approaches, methods and aspects detected in the different social networks. The review can provide a guide for researchers to know the approaches that exist and how they were used specifically in social networks. More... »

PAGES

263-273

Book

TITLE

Trends and Applications in Software Engineering

ISBN

978-3-319-69340-8
978-3-319-69341-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-69341-5_24

DOI

http://dx.doi.org/10.1007/978-3-319-69341-5_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092165638


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