| Autor: |
García Merino, Luis Santiago, Millones Orrego de Gástelo, Giuliana Vilma, Rubio Cabrera, Wilberto Fernando, Carruitero Ávila, Nancy Aida, De La Cruz Lozado, Juan |
| Předmět: |
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| Zdroj: |
Journal of Namibian Studies; 2023 Supplement, Vol. 33, p2921-2934, 14p |
| Abstrakt: |
A documentary review was carried out on the production and publication of research papers related to the study of the variable sentiment analysis, machine learning, social networks, facebook. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017-2022, achieving the identification of 274 publications. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors towards the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found that India with 111 publications was the country with the highest scientific production registered in the name of authors affiliated with institutions in that country. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of the variable sentiment analysis, machine learning, social networks, facebook was Computer Science with 219 published documents, and the Type of Publication most used during the period indicated above were Conference Articles with 52% of the total scientific production. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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