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Mineração de dados no Twitter : uma ferramenta prática para extração e análise dos resultados.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Silva, Matheus Moreira Da |
| Copyright Year | 2017 |
| Abstract | Social Networks are composed by relations between users that generate a broad domain of information, where are modified with a quick frequency. The example is Twitter, which offers a fast and interactive communication with users on a global scale. It's observed that the posts originating from the interactions between Twitter users, when submitted to a processing data, it's possible retrieve important information about users behavior. This work aims to develop a practical and functional framework for the mining and visualization of Twitter data. The data are extracted by API available by Twitter, it allow extracts the recent tweets published. The extracted data are submitted to a collection of data mining algorithms, in order to find relationships between the data. The results are exposed to users by means of graphic libraries such as: Google Charts and D3.js in order to facilitate the visualization and analysis. The application was tested on current topics and proved to be functional once it was able to perform the requested tasks as expected. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.monografias.ufop.br/bitstream/35400000/325/1/MONOGRAFIA_Minera%C3%A7%C3%A3oDadosTwitter.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
