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20142025
most citedA Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams

221 citations · 312 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CL2025

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…

cs.CL2021

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…

cs.CL2019

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…

cs.CL2019★ 5 cited

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…

cs.CL2018★ 17 cited

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…

cs.CL2018★ 15 cited

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…

cs.CL2018

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…