Research trends in Sentiment Analysis and Opinion Mining from Knowledge Management approach: A science mapping from 2007 to 2020
| Main Authors: | Casas-Valadez, Mariano Alberto, Faz-Mendoza, Alberto, Medina-Rodriguez, Cesar Esau, Castañeda-Miranda, Rodrigo, Gamboa-Rosales, Nadia Karina, López-Robles, José Ricardo |
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| Format: | Proceeding PeerReviewed |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
http://eprints.rclis.org/41778/1/3ICT2020_Casas-Valadez_et_al_2020.pdf http://eprints.rclis.org/41778/ |
Daftar Isi:
- 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.