no code implementations • 11 Apr 2024 • Thiago C. Silva, Paulo V. B. Wilhelm, Diego R. Amancio
This study examines the effects of de-globalization trends on international trade networks and their role in improving forecasts for economic growth.
no code implementations • 5 Oct 2022 • Giovana D. da Silva, Filipi N. Silva, Henrique F. de Arruda, Bárbara C. e Souza, Luciano da F. Costa, Diego R. Amancio
Such an outcome suggests that it is unfeasible to predict the success of books with high accuracy using only the full content of the texts.
no code implementations • 30 Jun 2022 • Lucas Guerreiro, Filipi N. Silva, Diego R. Amancio
Given that in many real scenarios, the underlying processes generating the sequence is hidden, we investigate whether the reconstruction of the network via the co-occurrence method is useful to recover both the network topology and agent dynamics generating sequences.
no code implementations • 4 May 2022 • Jorge A. V. Tohalino, Thiago C. Silva, Diego R. Amancio
Detecting keywords in texts is important for many text mining applications.
no code implementations • 17 Jan 2022 • Bárbara C. e Souza, Filipi N. Silva, Henrique F. de Arruda, Giovana D. da Silva, Luciano da F. Costa, Diego R. Amancio
In particular, texts are also characterized by a hierarchical structure that can be approached by using multi-scale concepts and methods.
no code implementations • 18 Jul 2021 • Henrique F. de Arruda, Sandro M. Reia, Filipi N. Silva, Diego R. Amancio, Luciano da F. Costa
Interestingly, by using an approach based on complex networks to visualize the similarities between the different texts considered, we found that the patterns of poetry vary much more than prose.
no code implementations • 20 Jun 2021 • Jorge A. V. Tohalino, Diego R. Amancio
We found that research subject and publication history play a role in predicting productivity.
no code implementations • 13 Oct 2020 • Jorge A. V. Tohalino, Diego R. Amancio
This manuscript provides a short and practical introduction to the topic of language networks.
no code implementations • 13 Mar 2020 • Laura V. C. Quispe, Jorge A. V. Tohalino, Diego R. Amancio
Word co-occurrence networks have been employed to analyze texts both in the practical and theoretical scenarios.
1 code implementation • 18 May 2019 • Edilson A. Corrêa Jr., Vanessa Q. Marinho, Diego R. Amancio
In this study we propose a framework to characterize documents based on their semantic flow.
no code implementations • 22 Jun 2018 • Henrique F. de Arruda, Vanessa Q. Marinho, Luciano da F. Costa, Diego R. Amancio
With the increasing number of texts made available on the Internet, many applications have relied on text mining tools to tackle a diversity of problems.
no code implementations • 22 Mar 2018 • Edilson A. Corrêa Jr., Diego R. Amancio
In this paper, we devise a method that leverages recent findings in word embeddings research to generate context embeddings, which are embeddings containing information about the semantical context of a word.
no code implementations • 7 Nov 2017 • Jorge V. Tohalino, Diego R. Amancio
Differently from previous studies in multi-document summarization, we make a distinction between edges linking sentences from different documents (inter-layer) and those connecting sentences from the same document (intra-layer).
no code implementations • 24 Aug 2017 • Henrique F. de Arruda, Vanessa Q. Marinho, Thales S. Lima, Diego R. Amancio, Luciano da F. Costa
Text network analysis has received increasing attention as a consequence of its wide range of applications.
no code implementations • 5 Aug 2017 • Jorge V. Tohalino, Diego R. Amancio
Due to the large amount of textual information available on Internet, it is of paramount relevance to use techniques that find relevant and concise content.
no code implementations • 29 May 2017 • Vanessa Q. Marinho, Henrique F. de Arruda, Thales S. Lima, Luciano F. Costa, Diego R. Amancio
In this paper, we explore a complex network approach to assign the authorship of texts based on their mesoscopic representation, in an attempt to capture the flow of the narrative.
no code implementations • 11 May 2017 • Camilo Akimushkin, Diego R. Amancio, Osvaldo N. Oliveira Jr
Well-established automatic analyses of texts mainly consider frequencies of linguistic units, e. g. letters, words and bigrams, while methods based on co-occurrence networks consider the structure of texts regardless of the nodes label (i. e. the words semantics).
no code implementations • 1 May 2017 • Vanessa Q. Marinho, Graeme Hirst, Diego R. Amancio
The vast amount of data and increase of computational capacity have allowed the analysis of texts from several perspectives, including the representation of texts as complex networks.
no code implementations • 26 Apr 2017 • Leandro B. dos Santos, Edilson A. Corrêa Jr, Osvaldo N. Oliveira Jr, Diego R. Amancio, Letícia L. Mansur, Sandra M. Aluísio
The approach using linguistic features yielded higher accuracy if the transcriptions of the Cinderella dataset were manually revised.
no code implementations • 26 Dec 2016 • Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova, Odemir M. Bruno, Diego R. Amancio, Francisco A. Rodrigues, Luciano da F. Costa
We also found that the default configuration of the adopted implementations was not accurate.
no code implementations • 20 Oct 2016 • Jeaneth Machicao, Edilson A. Corrêa Jr., Gisele H. B. Miranda, Diego R. Amancio, Odemir M. Bruno
Remarkably, we have found a dependence of pre-processing steps (such as the lemmatization) on the obtained results, a feature that has mostly been disregarded in related works.
no code implementations • 29 Jul 2016 • Camilo Akimushkin, Diego R. Amancio, Osvaldo N. Oliveira Jr
The identification of authorship in disputed documents still requires human expertise, which is now unfeasible for many tasks owing to the large volumes of text and authors in practical applications.
no code implementations • 30 Jun 2016 • Henrique F. de Arruda, Filipi N. Silva, Vanessa Q. Marinho, Diego R. Amancio, Luciano da F. Costa
In order to grasp the mesoscopic characteristics of semantical content in written texts, we devised a network model which is able to analyze documents in a multi-scale fashion.
no code implementations • 25 Jun 2016 • Edilson A. Correa Jr., Alneu de Andrade Lopes, Diego R. Amancio
Our results revealed that the proposed learning algorithm in such bipartite networks provides excellent results mostly when topical features are employed to characterize the context.
no code implementations • 17 Jun 2016 • Cesar H. Comin, Thomas K. DM. Peron, Filipi N. Silva, Diego R. Amancio, Francisco A. Rodrigues, Luciano da F. Costa
More specifically, the identification of the main areas to which the concepts frequently used in complex networks can be applied paves the way to adopting and applying a larger set of concepts and methods deriving from those respective areas.
no code implementations • 4 Dec 2015 • Henrique F. de Arruda, Luciano da F. Costa, Diego R. Amancio
Many real systems have been modelled in terms of network concepts, and written texts are a particular example of information networks.
no code implementations • 17 Sep 2015 • Diego R. Amancio
The use of methods borrowed from statistics and physics to analyze written texts has allowed the discovery of unprecedent patterns of human behavior and cognition by establishing links between models features and language structure.
no code implementations • 28 Jul 2015 • Henrique F. de Arruda, Luciano da F. Costa, Diego R. Amancio
In the latter, many approaches have emphasized the semantical content of texts, as it is the case of bag-of-word language models.
no code implementations • 30 Jun 2015 • Diego R. Amancio
Statistical methods have been widely employed to study the fundamental properties of language.
no code implementations • 18 Jun 2015 • Diego R. Amancio
Recent years have witnessed the increase of competition in science.
no code implementations • 9 Apr 2015 • Diego R. Amancio, Filipi N. Silva, Luciano da F. Costa
A statistical analysis of the symmetry distribution performed in several novels showed that most of the words do not display symmetric patterns of connectivity.
no code implementations • 4 Feb 2015 • Diego R. Amancio
Because fluctuations represent a pivotal factor for characterizing a myriad of real systems, this study focused on the analysis of the properties of stylistic fluctuations in texts via topological analysis of complex networks and intermittency measurements.
no code implementations • 29 Dec 2014 • Diego R. Amancio
Most importantly, it was verified, as a proof of principle, that short texts can be analyzed with the methods and concepts of complex networks.
no code implementations • 3 Dec 2014 • Diego R. Amancio
Comment on "Approaching human language with complex networks" by Cong and Liu (Physics of Life Reviews, Volume 11, Issue 4, December 2014, Pages 598-618).
no code implementations • 17 Jun 2013 • Thiago C. Silva, Diego R. Amancio
Patterns of topological arrangement are widely used for both animal and human brains in the learning process.