Sentiment identification on Twitter using machine learning

被引：0

作者：

Morales-Castro, Wendy ^{[1
]}

Careta, Eduardo Perez ^{[1
]}

Rayas, Angelica Hernandez ^{[1
]}

Mukhopadhyay, Tirtha Prasad ^{[1
]}

Crespo, J. Armando Perez ^{[1
]}

Cabrera, Rafael Guzman ^{[1
]}

机构：

[1] Univ Guanajuato, Guanajuato, Mexico

来源：

2022 EURO-ASIA CONFERENCE ON FRONTIERS OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, FCSIT | 2022年

关键词：

Analysis of feelings; polarity; learning methods; metaclassifiers; lexical resources;

D O I：

10.1109/FCSIT57414.2022.00017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The analysis of feelings is a task belonging to the field of Natural Language Processing, which has become more relevant in recent years due to the large amount of subjective information that is generated daily through social networks specifically Twitter, same information that is of great value to organizations. Because it allows them to have tools that support decision making and even perform digital marketing. In particular, the focus of this paper is to use some techniques within the area Natural Language Processing and Machine Learning that allow us to improve the performance of the accuracy that is had when classifying tweets.

引用

页码：28 / 31

页数：4

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