43 citations · 136 across the 8 of their papers we have counts for
9 papers
Semantic flow in language networks
Edilson A. Corrêa, Vanessa Q. Marinho, Diego R. Amancio
In this study we propose a framework to characterize documents based on their semantic flow. The proposed framework encompasses a network-based model that connected sentences based…
Paragraph-based complex networks: application to document classification and authenticity verification
Henrique F. de Arruda, Vanessa Q. Marinho, Luciano da F. Costa +1
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. A relevant model to repres…
An Image Analysis Approach to the Calligraphy of Books
Henrique F. de Arruda, Vanessa Q. Marinho, Thales S. Lima +2
Text network analysis has received increasing attention as a consequence of its wide range of applications. In this work, we extend a previous work founded on the study of topologi…
PELESent: Cross-domain polarity classification using distant supervision
Edilson A. Corrêa, Vanessa Q. Marinho, Leandro B. dos Santos +3
The enormous amount of texts published daily by Internet users has fostered the development of methods to analyze this content in several natural language processing areas, such as…
On the "Calligraphy" of Books
Vanessa Q. Marinho, Henrique F. de Arruda, Thales S. Lima +2
Authorship attribution is a natural language processing task that has been widely studied, often by considering small order statistics. In this paper, we explore a complex network…
Labelled network subgraphs reveal stylistic subtleties in written texts
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 networ…
NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis
Edilson A. Corrêa, Vanessa Queiroz Marinho, Leandro Borges dos Santos
This paper describes our multi-view ensemble approach to SemEval-2017 Task 4 on Sentiment Analysis in Twitter, specifically, the Message Polarity Classification subtask for English…
Authorship attribution via network motifs identification
Vanessa Queiroz Marinho, Graeme Hirst, Diego Raphael Amancio
Concepts and methods of complex networks can be used to analyse texts at their different complexity levels. Examples of natural language processing (NLP) tasks studied via topologi…
Representation of texts as complex networks: a mesoscopic approach
Henrique F. de Arruda, Filipi N. Silva, Vanessa Q. Marinho +2
Statistical techniques that analyze texts, referred to as text analytics, have departed from the use of simple word count statistics towards a new paradigm. Text mining now hinges…