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Uso de técnicas de Computação Social para tomada de decisão de compra e venda de ações no mercado brasileiro de bolsa de valores
| Content Provider | Semantic Scholar |
|---|---|
| Author | Alves, Deborah Silva |
| Copyright Year | 2015 |
| Abstract | The tracking of public sentiment indicators to predict the financial market has gained much attention from academia and the business world. However, there are several issues regarding the accuracy and significance of models that need to be improved. Thus, this work aims to analyze the relationship between data in Portuguese language obtained from the social network Twitter and Brazilian stock market through a decision aid system which performs purchase and sale of shares. In order that, messages posted from August 2013 to April 2014 that contained words related to the actions of nine important Brazilian companies in the stock market, and Bovespa data as volume and price were collected. Techniques for sentiment analysis and trend were applied in the data to obtain indicators that were initially associated statistically with the Bovespa and subsequently, they were used in the simulator system. The results showed that investment in this area is promising despite the great challenges it imposes. |
| File Format | PDF HTM / HTML |
| DOI | 10.26512/2015.10.T.19345 |
| Alternate Webpage(s) | http://repositorio.unb.br/bitstream/10482/19345/1/2015_DeborahSilvaAlves.pdf |
| Alternate Webpage(s) | https://doi.org/10.26512/2015.10.T.19345 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
