221 citations · 312 across the 9 of their papers we have counts for
11 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…
Exploiting Hierarchical Dependence Structures for Unsupervised Rank Fusion in Information Retrieval
J. Hermosillo-Valadez, E. Morales-González, F. Fernández-Reyes +3
The goal of rank fusion in information retrieval (IR) is to deliver a single output list from multiple search results. Improving performance by combining the outputs of various IR…
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…
A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
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…
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…
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gomez +2
Books have the power to make us feel happiness, sadness, pain, surprise, or sorrow. An author's dexterity in the use of these emotions captivates readers and makes it difficult for…
Gated Multimodal Units for Information Fusion
John Arevalo, Thamar Solorio, Manuel Montes-y-Gómez +1
This paper presents a novel model for multimodal learning based on gated neural networks. The Gated Multimodal Unit (GMU) model is intended to be used as an internal unit in a neur…
Term-Weighting Learning via Genetic Programming for Text Classification
Hugo Jair Escalante, Mauricio A. García-Limón, Alicia Morales-Reyes +3
This paper describes a novel approach to learning term-weighting schemes (TWSs) in the context of text classification. In text mining a TWS determines the way in which documents wi…