CV Lattes
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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduate at Engenharia de Computação from Universidade de São Paulo (2009). , acting on the following subjects: redes complexas, tradução automática, pln, network measurements and machine translation. (Source: Lattes Curriculum)
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The Senate and the Chamber of Deputies constitute the Brazilian Congress and are responsible for the Brazilian legislative management. Complex networks were shown to be a suitable tool to analyze this type of system. Several researches explored party dynamics in the Chamber of Deputies, however, no attention has been given to the Senate. Previous works that have stated the necessity of a …
Recent studies have explored the addition of virtual edges to word co-occurrence networks using word embeddings to enhance graph representations, particularly for short texts. While these enriched networks have demonstrated some success, the impact of incorporating semantic edges into traditional co-occurrence networks remains uncertain. In this study, we investigate two key statistical p…
Complex networks have been used to model a myriad of complex systems. Even though this model has already been employed in text classification tasks, most of the studies are based on the co-occurrence model, which has some drawbacks. We propose here an extension of the traditional co-occurrence model by using information obtained from word embeddings. The proposed model includes additional…
In this paper, we introduce a network-based methodology to study how political entities evolve over time. We constructed networks of voting data from the Brazilian Chamber of Deputies, where deputies are nodes and edges are represented by voting similarity among deputies. The Brazilian Chamber of deputies is characterized by a multi-party political system. Thus, we would expect a broad sp…
The authorship attribution is a problem of considerable practical and technical interest.Several methods have been designed to infer the authorship of disputed documents inmultiple contexts. While traditional statistical methods based solely on word countsand related measurements have provided a simple, yet effective solution in particularcases; they are prone to manipulation. Recently, t…
(Only some records are available in English at this moment)
Social Media has played a revolutionary role in the ways society communicates today, allowing for easier communication between different groups, better access to information, and giving a voice to segments previously marginalized in political debates. However, the growing presence of malicious activities that undermine the healthy functioning of these networks has become evident. In this …
Text representation is one of the most important methods in natural language processing and is increasingly being applied in various areas. One application, for example, is based on the use of embeddings to classify the emotional intent of a text. In addition, it's possible to use textual representation to predict the success of a work, such as a scientific article, a novel, or a book.In …
Predictions stand out today as one of the most important tools in terms of well-being and human success. Through them it is possible to take action before a certain event occurs, thus avoiding unwanted consequences. For example, it is possible to make predictions of episodes such as the indication of a early stage epidemic and the spread of fake news. In this sense, it is also possible to…
The understanding of scientific development helps to concentrate efforts on social and economic strategic research areas. Given this importance, Scientometrics emerged focused on using quantitative methods on academic data to explore dynamics related to publications, citations, journals, researchers, collaborations, research areas, and research institutions. Although Scientometric is not …
(Only some records are available in English at this moment)
In the 21st century, social media has become a central arena for public discourse, heavily influenced by Information Operations (IO), where coordinated, inauthentic groups manipulate narratives; despite the growing sophistication of these malicious campaigns, often powered by advanced machine learning and deep learning, the use of these same technologies for detection and defense remains …
Social media is an important way for scholars to achieve visibility and reach wider audiences. Given this context, this project research aims to explore the dynamics involving scholars on Twitter. More specifically, we want to characterize the scientific discussions on Twitter, the audience, and the speakers. For instance, we are interested in what kind of topic is discussed among schola…
As the amount of data available online increases every day, the need to access and process such data becomes quite significant. Because massive amounts of data cannot be - or are hardly - analyzed by humans, NLP tasks stand out as a way of programming computers to automatically process and analyze large amounts of data from natural language. However, although there are several methods tha…
Citation and information networks have been extensively studied along the past years.While much insight has been obtained from particular topological attributes (e.g. degree distribution and cycles), no large scale study has been conducted on the effects of including additional metadata information to improve the characterization of such systems. In this context, this project aims at inve…
(Only some records are available in English at this moment)