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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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…
Complex networks have been used to model many complex systems, owing to its versatility to represent systems as an association of nodes. Even though network science has already been used to analyze written texts in recent years, the majority of works exploring topological information of networks have emphasized only the stylistic/structural properties of documents. Here, we propose an ext…
Statistical methods have been widely employed to study the fundamental properties of language. In recent years, methods from complex and dynamical systems proved useful to create several language models. Despite the large amount of studies devoted to represent texts with physical models, only a limited number of studies have shown how the properties of the underlying physical systems can …
(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)
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)
| 6 / 4 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 8 / 7 | Completed scholarships in Brazil |
| 4 / 4 | Completed scholarships abroad |
| 19 / 16 | All research grants and scholarships |
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