Casas-Valadez, Mariano Alberto and Faz-Mendoza, Alberto and Medina-Rodriguez, Cesar Esau and Castañeda-Miranda, Rodrigo and Gamboa-Rosales, Nadia Karina and López-Robles, José Ricardo Research trends in Sentiment Analysis and Opinion Mining from Knowledge Management approach: A science mapping from 2007 to 2020., 2020 . In 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), Bahrain (online), 20-21 December 2020. (Unpublished) [Conference paper]
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English abstract
The internationalization of markets and the increasing intensification of competition, forces managers of organizations or companies to make precise decisions in the shortest possible time. When the organization promotes the exchange of knowledge, it is oriented towards the sustained improvement of processes and internal communication. In the same way, relations with the outside environment improve: customers and suppliers. The birth of the Internet and later of social networks led to public ideas, debates and opinions; which constitute an interesting source to detect opinion trends among users. This complex data analysis is carried out by different disciplines of artificial intelligence with the implementation of algorithms. One of those disciplines is the Analysis of Feelings, which through an opinion, emotion or attitude that is mainly inferred from a text, analyzes and classifies them. The approach of these methodologies assumes the interest of this work for the extraction of information that allows its later use in the decision-making of organizations. Finally, to learn more about its evolution, trends, research areas, authors and publications, a Bibliometric Analysis was applied from 2007 to date on Sentiment Analysis and Opinion Mining from Knowledge Management.
Item type: | Conference paper |
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Keywords: | Information Systems; Technology's Impacts on Society; Knowledge Management |
Subjects: | F. Management. G. Industry, profession and education. |
Depositing user: | J.R. López-Robles |
Date deposited: | 19 Feb 2021 23:34 |
Last modified: | 19 Feb 2021 23:34 |
URI: | http://hdl.handle.net/10760/41778 |
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