Exploring the Use of Lexical and Psycho-Linguistic Resources for Sentiment Analysis

被引：1

作者：

Guzman Cabrera, Rafael ^{[1
]}

Hernandez Farias, Delia Irazu ^{[2
]}

机构：

[1] Univ Guanajuato, Div Ingn, Campus Irapuato Salamanca, Guanajuato, Mexico

[2] Univ Guanajuato, Div Ciencias & Ingn, Campus Leon, Guanajuato, Mexico

来源：

ADVANCES IN COMPUTATIONAL INTELLIGENCE, MICAI 2020, PT II | 2020年 / 12469卷

关键词：

Sentiment analysis; Psycho-linguistic resources; Lexical resources; COMMON;

D O I：

10.1007/978-3-030-60887-3_11

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Twitter data have been used for monitoring customer opinions in different domains. In this paper, we investigated the role of a wide set of lexical and psycho-linguistic resources for discovering a set of features that can be potentially useful for this task. Different experiments were carried out, the obtained results allow us to demonstrate that by using a small set of features it is possible to obtain competitive results against more complex approaches. The experimental evaluation was carried out on a collection of tweets corresponding to the airline domain. The obtained results allow us to observe a significant reduction in the vector representation dimension, maintaining satisfactory results using lexical resources for capturing different kinds of information to perform sentiment analysis in tweets on the aforementioned domain.

引用

页码：109 / 121

页数：13

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