Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Salud María Jiménez Zafra"'
Autor:
José Antonio García-Díaz, Salud María Jiménez-Zafra, Miguel Angel García-Cumbreras, Rafael Valencia-García
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 3, Pp 2893-2914 (2022)
Abstract The rise of social networks has allowed misogynistic, xenophobic, and homophobic people to spread their hate-speech to intimidate individuals or groups because of their gender, ethnicity or sexual orientation. The consequences of hate-speech
Externí odkaz:
https://doaj.org/article/cd202626b0104926b5c64980062f7ea8
Autor:
Aránzazu Román-San-Miguel, Dra., Francisco J. Olivares-García, Dr., Salud María Jiménez-Zafra, Dra.
Publikováno v:
La Revista Icono 14, Vol 20, Iss 2 (2022)
Este trabajo analiza el discurso de odio en los mensajes publicados en Twitter desde el 17 al 25 de mayo de 2021 durante la crisis producida por la entrada de miles de inmigrantes en la frontera del Tarajal en Ceuta. El objetivo de la investigación
Externí odkaz:
https://doaj.org/article/dae7a47dd1ef4c7e9ea67a5a6e625ee5
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 2, p 58 (2023)
Sentiment Analysis, also known as opinion mining, is the area of Natural Language Processing that aims to extract human perceptions, thoughts, and beliefs from unstructured textual content. It has become a useful, attractive, and challenging research
Externí odkaz:
https://doaj.org/article/0836a81e372c4fa6a45643bcd2566f6b
Autor:
Salud María Jiménez-Zafra, Antonio José Sáez-Castillo, Antonio Conde-Sánchez, María Teresa Martín-Valdivia
Publikováno v:
Royal Society Open Science, Vol 8, Iss 4 (2021)
Virality on Twitter is catching the attention of researchers, trying to identify factors which increase or decrease the probability of retweeting. We study how terms expressing sentiments affect retweeting frequencies by means of a regression model o
Externí odkaz:
https://doaj.org/article/6a6012c87fb64f5ea61588b33a7282bb
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4859 (2022)
Artificial Intelligence has gained a lot of popularity in recent years thanks to the advent of, mainly, Deep Learning techniques [...]
Externí odkaz:
https://doaj.org/article/ebfb1a1847c94b12bf65db70d8b3e815
Autor:
Daniel García-Baena, Miguel Ángel García-Cumbreras, Salud María Jiménez-Zafra, José Antonio García-Díaz, Rafael Valencia-García
Publikováno v:
Language Resources and Evaluation.
In recent years, systems have been developed to monitor online content and remove abusive, offensive or hateful content. Comments in online social media have been analyzed to find and stop the spread of negativity using methods such as hate speech de
Publikováno v:
Revista ICONO 14. Revista científica de Comunicación y Tecnologías emergentes. 20
Esta publicación es parte del proyecto LIVING-LANG (RTI2018-094653-B-C21) financiado por MCIN/AEI/10.13039/501100011033 y por FEDER Una manera de hacer Europa, de proyecto PID2020-116118GA-I00 financiado por MICINN/AEI/10.13039/501100011033, del pro
Publikováno v:
Natural Language Engineering. 27:225-248
Accurate negation identification is one of the most important tasks in the context of sentiment analysis. In order to correctly interpret the sentiment value of a particular expression, we need to identify whether it is in the scope of negation. Whil
Autor:
Arturo Montejo Ráez, M. Dolores Molina-González, Salud María Jiménez Zafra, Miguel Ángel García Cumbreras, Luis Joaquín García López
Publikováno v:
SSRN Electronic Journal.
Autor:
Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, Subalalitha Cn, John McCrae, Miguel Ángel García, Salud María Jiménez-Zafra, Rafael Valencia-García, Prasanna Kumaresan, Rahul Ponnusamy, Daniel García-Baena, José García-Díaz
Publikováno v:
Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion.