Sentiment analysis for social media

Iglesias Fernández, Carlos Ángel ORCID: and Moreno, Antonio (2019). Sentiment analysis for social media. "Applied Sciences-Basel", v. 9 (n. 5037); pp. 1-4. ISSN 2076-3417.


Title: Sentiment analysis for social media
Item Type: Article
Título de Revista/Publicación: Applied Sciences-Basel
Date: 22 November 2019
ISSN: 2076-3417
Volume: 9
Freetext Keywords: sentiment analysis; emotion analysis; social media; affect computing
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 63862
DC Identifier:
OAI Identifier:
DOI: 10.3390/app9235037
Official URL:
Deposited by: Memoria Investigacion
Deposited on: 29 Sep 2020 15:33
Last Modified: 01 Apr 2023 10:14
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