Sentiment analysis: A review and comparative analysis of web services

被引：275

作者：

Serrano-Guerrero, Jesus ^{[1
]}

Olivas, Jose A. ^{[1
]}

Romero, Francisco P. ^{[1
]}

Herrera-Viedma, Enrique ^{[2
,3
]}

机构：

[1] Univ Castilla La Mancha, Dept Informat Technol & Syst, E-13071 Ciudad Real, Spain

[2] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

[3] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia

来源：

INFORMATION SCIENCES | 2015年 / 311卷

关键词：

Sentiment analysis; Sentiment classification; Rating prediction; Web services; CLASSIFICATION; OPINION; POLARITY; FEATURES; EMOTION; MODEL; SUBJECTIVITY; TIME; WORD;

D O I：

10.1016/j.ins.2015.03.040

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc., towards elements such as topics, products, individuals, organizations, and services. Different techniques and software tools are being developed to carry out Sentiment Analysis. The goal of this work is to review and compare some free access web services, analyzing their capabilities to classify and score different pieces of text with respect to the sentiments contained therein. For that purpose, three well-known collections have been used to perform several experiments whose results are shown and commented upon, leading to some interesting conclusions about the capabilities of each analyzed tool. (c) 2015 Elsevier Inc. All rights reserved.

引用

页码：18 / 38

页数：21

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