Zobrazeno 1 - 10
of 34
pro vyhledávání: '"José 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:
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
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
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:
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
Autor:
Óscar Apolinario-Arzube, José Antonio García-Díaz, José Medina-Moreira, Harry Luna-Aveiga, Rafael Valencia-García
Publikováno v:
Mathematics, Vol 8, Iss 11, p 2075 (2020)
Automatic satire identification can help to identify texts in which the intended meaning differs from the literal meaning, improving tasks such as sentiment analysis, fake news detection or natural-language user interfaces. Typically, satire identifi
Externí odkaz:
https://doaj.org/article/b51bf8fa62114428b4085d8d27ef4f3b
Autor:
Katty Lagos-Ortiz, María del Pilar Salas-Zárate, Mario Andrés Paredes-Valverde, José Antonio García-Díaz, Rafael Valencia-García
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 1040 (2020)
In the agricultural context, there is a great diversity of insects and diseases that affect crops. Moreover, the amount of data available on data sources such as the Web regarding these topics increase every day. This fact can represent a problem whe
Externí odkaz:
https://doaj.org/article/6ae8e83119344c858dd8c5c47974cb26
Autor:
Oscar Apolinardo-Arzube, José Antonio García-Díaz, José Medina-Moreira, Harry Luna-Aveiga, Rafael Valencia-García
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2858 (2019)
Recent outbreaks of infectious diseases remind us the importance of early-detection systems improvement. Infodemiology is a novel research field that analyzes online information regarding public health that aims to complement traditional surveillance
Externí odkaz:
https://doaj.org/article/a623c35839ba4a2e9721b8fb5dbc916c
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
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