BirdDog is a project founded by Roney Fraga Souza, a professor at Faculty of Economics, Federal University of Mato Grosso in Cuiabá, and, editor of Revista de Estudos Sociais (Journal of Social Studies).
Our main line of research is a technology forecasting project which maps fields of knowledge by different dimensions. It is used for reading of curriculum of the platform lattes to find which professionals work with a certain area of knowledge, considering the weight of the publications and the relations of co-authorship. With articles it is possible to use data obtained from databases such as Scopus and WoS Web of Science to build networks of scientific publications, group articles by similarity of connections, calculate topological means of importance of each article, extract the content of groups with NLP Natural Language Processing, among other procedures. The same procedures applied to scientific articles are finally applied to patents, where it is possible to find the frontier of knowledge in the world of patents (USPTO). All the procedures used are composed by unsupervised methods, which allow the applications of thousands of authors, articles and patents, and spend little processing time.
We also investigate economics issues using quantitative methods, computation algorithms, network analysis and big data.
Many of the data that we work on is obtained via scraping data from internet pages. We also usually follow and manipulate some databases the Brazilian government makes available. These are:
We use NLP Natural Language Processing to analyze the contents of articles and patents. The idea is to obtain the content of a set of documents, via language filters to return candidate terms, without the need to read those documents. The analysis of the importance of these candidate terms is done by metrics such as tf-idf.
Automated processes implemented using a bot. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.
Statistical Software•Programming language
A Review Analyzer for Best Buy Reviews. It has the following three functions:
Users can invite their friends with QR codes and share restaurants with their friends. The communication is based on socket channel with low frequency polling which significantly reduced the number of requests processed by server.Download Project Proposal
Breast cancer is a type of cancer that originates from breast tissue. In this project, we will analyze a breast cancer dataset and use it to find genetic markers. For the selected genetic markers, we are going to give bio-functions corresponding to them and use the selected markers to predict the breast cancer. Then, we will discuss the limitations of the prediction model and some approaches to overcome them.Download Final Project Report
This is my first personal website.
This is how I first stepped into the fantastic Web Programming world. This project helped me learn a lot about Web Programming languages, skills and tricks.
The sensational tragedy on April 15, 1912, the Titanic sank after colliding with an iceberg during her maiden voyage, killing 1502 out of 2224 passengers and crew, shocked the international community and led to better safety regulations for ships. We are also interested to know the survivals' characteristics.Download Final Project Report
The time series data we analyze is the industry sales for printing and writing paper (in Thousand of French francs) from January 1963 to December 1972. We expect to fit a forecasting model for the monthly industry sales of printing and writing papers.Download Final Project Report
The data we used were collected from the Current Population Survey (CPS) in the year of 1985, which provide supplement census information between census years.I mainly worked on checking whether an individual with higher wages was more likely to be in a management position or have a professional occupation than other who were not in these occupations.Download Final Project Report
Our project goal was to create a WWW service that offers campus-based book exchange platform. Users enable to trade books according to their requirements and preferences. With the featured Location function, our site could provide both face-to-face deal information/notification and drop-and-pick service for inconsistent deal. With the powerful real-time Bidding System function, buyers could buy books with cheap and reasonable prices. We also added two advanced functions: one is Parsing that we grabbed book information from Amazon.com in order to give users enough references; the other is Ranking System that we gave it several scientific formulas and creative algorithms determined by multiple factors, in order to give the buyers better search services.CS, Database System, PHP, MySQL, Ranking Function, Bidding
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