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A review of opinion mining and NLP challenges

UNA REVISIÓN A LA MINERIA DE OPINIONES Y LOS RETOS DEL PNL




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H. Nigro, “A review of opinion mining and NLP challenges”, Rev. Ing. Mat. Cienc. Inf, vol. 7, no. 13, pp. 105–110, Jan. 2020, Accessed: Dec. 21, 2024. [Online]. Available: https://ojs.urepublicana.edu.co/index.php/ingenieria/article/view/630

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Esta obra está bajo una licencia internacional

Atribución/Reconocimiento 4.0 Internacional
Hector Nigro

    Hector Nigro,

    Ingeniero de Sistemas (Unicen), Magister en Ciencias Políticas y Sociales (Flacso), Candidato a Doctor en Matemática Computacional e Industrial Aplicada (Unicen).


    In recent years, there has been a growth in the analysis of social networks to get an idea of what people think about current topics of interest, however, text mining systems originally designed for more regular types of texts Like news articles, they may need to be adapted to deal with social media posts like Facebook, tweets, etc. In this article, a reflection is presented on issues related to mining opinion from social networks and the challenges they impose on a natural language processing system (NLP).

    DOI: http://dx.doi.org/10.21017/rimci.2020.v7.n13.a80


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