Sentiment Analysis for Social Media

被引:15
|
作者
Iglesias, Carlos A. [1 ]
Moreno, Antonio [2 ]
机构
[1] ETSI Telecomunicac, Intelligent Syst Grp, Avda Complutense 30, Madrid 28040, Spain
[2] Univ Rovira & Virgili, Dept Enginyeria Informat & Matemat, Escola Tecn Super Enginyeria, Intelligent Technol Adv Knowledge Acquisit ITAKA, Tarragona 43007, Spain
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 23期
关键词
sentiment analysis; emotion analysis; social media; affect computing;
D O I
10.3390/app9235037
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Sentiment analysis has become a key technology to gain insight from social networks. The field has reached a level of maturity that paves the way for its exploitation in many different fields such as marketing, health, banking or politics. The latest technological advancements, such as deep learning techniques, have solved some of the traditional challenges in the area caused by the scarcity of lexical resources. In this Special Issue, different approaches that advance this discipline are presented. The contributed articles belong to two broad groups: technological contributions and applications.
引用
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页数:4
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