Social media sentiment application for financial market trading strategies
This study tests the hypothesis of financial market stock price movement prediction possibility with an application of quantified human sentiment indices gathered from Twitter social network. Using Python text analysis and machine learning algorithms.
| Рубрика | Экономика и экономическая теория |
| Предмет | Econometrics |
| Вид | дипломная работа |
| Язык | английский |
| Прислал(а) | Samarenko A. |
| Дата добавления | 07.12.2019 |
| Размер файла | 2,5 M |
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