Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Antonio García-Díaz"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e1992 (2024)
Mental health issues are a global concern, with a particular focus on the rise of depression. Depression affects millions of people worldwide and is a leading cause of suicide, particularly among young people. Recent surveys indicate an increase in c
Externí odkaz:
https://doaj.org/article/0b6205d7fe88444d84ecba5767c733a5
Publikováno v:
PeerJ Computer Science, Vol 9, p e1377 (2023)
Nowadays, financial data from social media plays an important role to predict the stock market. However, the exponential growth of financial information and the different polarities of sentiment that other sectors or stakeholders may have on the same
Externí odkaz:
https://doaj.org/article/abd11dedd7a740eebd275f15077e4fc1
Publikováno v:
Mathematics, Vol 11, Iss 24, p 5004 (2023)
Supervised training has traditionally been the cornerstone of hate speech detection models, but it often falls short when faced with unseen scenarios. Zero and few-shot learning offers an interesting alternative to traditional supervised approaches.
Externí odkaz:
https://doaj.org/article/4e35ad1dd76942c8a37aab1feaf4b527
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:
Ronghao Pan, Antonio García-Díaz, José, Ángel Rondríguez-García, Miguel, García-Sánchez, Francisco, Valencia-García, Rafael
Publikováno v:
Procesamiento del Lenguaje Natural; sep2024, Vol. 73, p359-368, 10p
Autor:
García-Baena, Daniel, Balouchzahi, Fazlourrahman, Butt, Sabur, Ángel García-Cumbreras, Miguel, Lambebo Tonja, Atnafu, Antonio García-Díaz, José, Bozkurt, Selen, Chakravarthi, Bharathi Raja, Ceballos, Hector G., Valencia-García, Rafael, Sidorov, Grigori, Alfonso Ureña-López, L., Gelbukh, Alexander, María Jiménez-Zafra, Salud
Publikováno v:
Procesamiento del Lenguaje Natural; sep2024, Vol. 73, p407-419, 13p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Daniel Bravo-Candel, Jésica López-Hernández, José Antonio García-Díaz, Fernando Molina-Molina, Francisco García-Sánchez
Publikováno v:
Sensors, Vol 21, Iss 9, p 2893 (2021)
Real-word errors are characterized by being actual terms in the dictionary. By providing context, real-word errors are detected. Traditional methods to detect and correct such errors are mostly based on counting the frequency of short word sequences
Externí odkaz:
https://doaj.org/article/235f66c09b68440894ba0d6c798ef67e
Publikováno v:
Future generations computer systems
In general, people are usually more reluctant to follow advice and directions from politicians who do not have their ideology. In extreme cases, people can be heavily biased in favour of a political party at the same time that they are in sharp disag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::636b3c01335033c6c258329982c001fe
https://doi.org/10.1016/j.future.2021.12.011
https://doi.org/10.1016/j.future.2021.12.011
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e32173d5c62b3c5613fc842ade2af56
https://doi.org/10.1007/s10579-023-09638-3
https://doi.org/10.1007/s10579-023-09638-3