Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Montes y Gómez, Manuel"'
Publikováno v:
In Pattern Recognition Letters May 2024
This paper presents the Deep Bag-of-Sub-Emotions (DeepBoSE), a novel deep learning model for depression detection in social media. The model is formulated such that it internally computes a differentiable Bag-of-Features (BoF) representation that inc
Externí odkaz:
http://arxiv.org/abs/2103.01334
Automatic movie genre classification & emotion recognition via a BiProjection Multimodal Transformer
Autor:
Moreno-Galván, Diego Aarón, López-Santillán, Roberto, González-Gurrola, Luis Carlos, Montes-Y-Gómez, Manuel, Sánchez-Vega, Fernando, López-Monroy, Adrián Pastor
Publikováno v:
In Information Fusion January 2025 113
A recently introduced text classifier, called SS3, has obtained state-of-the-art performance on the CLEF's eRisk tasks. SS3 was created to deal with risk detection over text streams and, therefore, not only supports incremental training and classific
Externí odkaz:
http://arxiv.org/abs/1912.09322
Publikováno v:
Pattern Recognition Letters, Elsevier, 2020
A recently introduced classifier, called SS3, has shown to be well suited to deal with early risk detection (ERD) problems on text streams. It obtained state-of-the-art performance on early depression and anorexia detection on Reddit in the CLEF's eR
Externí odkaz:
http://arxiv.org/abs/1911.06147
We present experiments on detecting hyperpartisanship in news using a 'masking' method that allows us to assess the role of style vs. content for the task at hand. Our results corroborate previous research on this task in that topic related features
Externí odkaz:
http://arxiv.org/abs/1906.04836
Autor:
Álvarez-Carmona, Miguel Á., Villatoro-Tello, Esaú, Montes-y-Gómez, Manuel, Villaseñor-Pienda, Luis
Publikováno v:
Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4857-4868, 2019
Author Profiling (AP) aims at predicting specific characteristics from a group of authors by analyzing their written documents. Many research has been focused on determining suitable features for modeling writing patterns from authors. Reported resul
Externí odkaz:
http://arxiv.org/abs/1905.08780
Publikováno v:
18 May 2019, Volume 133, Expert Systems With Applications, Elsevier
With the rise of the Internet, there is a growing need to build intelligent systems that are capable of efficiently dealing with early risk detection (ERD) problems on social media, such as early depression detection, early rumor detection or identif
Externí odkaz:
http://arxiv.org/abs/1905.08772
Autor:
Álvarez-Carmona, Miguel A., Franco-Salvador, Marc, Villatoro-Tello, Esaú, Montes-y-Gómez, Manuel, Rosso, Paolo, Villaseñor-Pineda, Luis
Publikováno v:
Journal of Intelligent & Fuzzy Systems, vol. 34, no. 5, pp. 2983-2990, 2018
Paraphrase plagiarism identification represents a very complex task given that plagiarized texts are intentionally modified through several rewording techniques. Accordingly, this paper introduces two new measures for evaluating the relatedness of tw
Externí odkaz:
http://arxiv.org/abs/1805.11611