Sentiment analysis of social media and its relation to stock market
| Autor: | Bc. Vladimír Zobal, |
|---|---|
| Rok: | 2017 - letní |
| Vedoucí: | prof. PhDr. Ladislav Krištoufek Ph.D. |
| Konzultant: | |
| Typ práce: | Bakalářská |
| Jazyk: | Anglicky |
| Stránky: | 55 |
| Ocenění: | |
| Odkaz: | https://is.cuni.cz/webapps/zzp/detail/188064/ |
| Abstrakt: | The aim of this thesis is to verify and quantify relationship between the sentiment of Twitter posts, so called Tweets, and shot-run movements of the stock market indices. Firstly, the sentiment analysis, using lexicon-based approach, is conducted and subsequently predictions of stock market indices for the next day are made. Our analysis focuses mainly on noise reduction by implementation of threshold, and also on differences between negative and positive sentiment in contrast with reaction of individual market actors. All predictions are conducted on daily basis and the main purpose of this model is to support trading decision of individual by inclusion of sentiment score obtained from Twitter. |
