51 citations · 56 across the 3 of their papers we have counts for
8 papers
Temporal fine-tuning for early risk detection
Horacio Thompson, Esaú Villatoro-Tello, Manuel Montes-y-Gómez +1
Early Risk Detection (ERD) on the Web aims to identify promptly users facing social and health issues. Users are analyzed post-by-post, and it is necessary to guarantee correct and…
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media
Juan S. Lara, Mario Ezra Aragon, Fabio A. Gonzalez +1
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 c…
Unmasking Bias in News
Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez +1
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 corr…
A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media
Miguel Á. Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez +1
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 suitab…
Semantically-informed distance and similarity measures for paraphrase plagiarism identification
Miguel A. Álvarez-Carmona, Marc Franco-Salvador, Esaú Villatoro-Tello +3
Paraphrase plagiarism identification represents a very complex task given that plagiarized texts are intentionally modified through several rewording techniques. Accordingly, this…
A visual approach for age and gender identification on Twitter
Miguel A. Alvarez-Carmona, Luis Pellegrin, Manuel Montes-y-Gómez +5
The goal of Author Profiling (AP) is to identify demographic aspects (e.g., age, gender) from a given set of authors by analyzing their written texts. Recently, the AP task has gai…