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Humberto Torres Marques-Neto

Researcher at Pontifícia Universidade Católica de Minas Gerais

Publications -  58
Citations -  445

Humberto Torres Marques-Neto is an academic researcher from Pontifícia Universidade Católica de Minas Gerais. The author has contributed to research in topics: Context (language use) & Computer science. The author has an hindex of 11, co-authored 51 publications receiving 365 citations. Previous affiliations of Humberto Torres Marques-Neto include The Catholic University of America.

Papers
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Journal ArticleDOI

Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election

Josemar Alves Caetano, +3 more
- 01 Dec 2018 - 
TL;DR: The results showed that negative users, users supporting Trump, and users supporting Hillary had homophily in all analyzed scenarios, and it was found that thehomophily level increase when there are reciprocal connections, similar speeches, or multiplex connections.
Proceedings ArticleDOI

Characterizing Attention Cascades in WhatsApp Groups

Josemar Alves Caetano, +5 more
TL;DR: This paper characterize and analyze how attention propagates among the participants of a WhatsApp group, and finds specific characteristics in cascades associated with groups that discuss political subjects and false information.
Journal ArticleDOI

MobHet: Predicting human mobility using heterogeneous data sources

Lucas Maia Silveira, +4 more
- 01 Dec 2016 - 
TL;DR: The experimental results show that the best MobHet model produces results that are better than or at least comparable to the best baseline in all considered scenarios, unlike the previous models whose performance is very dependent on the particular type of data used.
Proceedings ArticleDOI

An Empirical Study on Recommendations of Similar Bugs

Henrique Rocha, +3 more
TL;DR: This paper evaluates a recommender, called NextBug, that considers the textual similarity of bug descriptions to predict bugs that require handling of similar code fragments, and shows that for detecting similar bugs, a technique that considers just the bug components and short descriptions perform just as well as a more complex technique that considering other features.
Proceedings ArticleDOI

Characterizing Attention Cascades in WhatsApp Groups

Josemar Alves Caetano, +5 more
- 02 May 2019 - 
TL;DR: In this article, the structural and temporal evolution of the attention cascades in WhatsApp groups is analyzed, and specific characteristics in cascades associated with groups that discuss political subjects and false information are found.