Stock Market Prediction Using Twitter Sentiment Analysis

In a study, it was investigated relationship among stock market movement and Tweeter feed content. We are expecting to see if there is connection among sentiment information extracted from the Tweets using a Vader in predicting movements of stock prices. As a result it was obtained strong positive correlation with a coefficient of correlation to be 0.7815

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Year of publication:	2018
Authors:	Kirlić, Ajla
Other Persons:	Orhan, Zeynep (contributor) ; Hasovic, Aldin (contributor) ; Kevser-Gokgol, Merve (contributor)
Publisher:	[2018]: [S.l.] : SSRN
Subject:	Social Web \| Social web \| Börsenkurs \| Share price \| Prognoseverfahren \| Forecasting model \| Aktienmarkt \| Stock market \| Emotion

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Extent:	1 Online-Ressource (4 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Invention Journal of Research Technology in Engineering & Management (IJRTEM), Volume 2 Issue 1 ǁ January. 2018 ǁ PP 01-04 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 2, 2018 erstellt
Source:	ECONIS - Online Catalogue of the ZBW

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