DocumentCode
707409
Title
Stock market forecast using sentiment analysis
Author
Ahuja, Rajat ; Rastogi, Harshil ; Choudhuri, Arpita ; Garg, Bindu
Author_Institution
UG, BVCOE, New Delhi, India
fYear
2015
fDate
11-13 March 2015
Firstpage
1008
Lastpage
1010
Abstract
Public opinion and stock market sentiment analysis have been used in this paper to find a relation between public moods and the stock market. We have used twitter data for predicting public emotion and past stock values to predict stock market movements. Thus by doing so we have been successful at obtaining high accuracy and capturing large scale trends.
Keywords
emotion recognition; financial data processing; social networking (online); stock markets; public emotion prediction; public moods; public opinion analysis; stock market forecast; stock market movements; stock market sentiment analysis; twitter data; Algorithm design and analysis; Market research; Mood; Prediction algorithms; Sentiment analysis; Stock markets; Twitter; BSE; Microblogging Data; Returns; Sentiment; financial market; prediction; statistical learning theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location
New Delhi
Print_ISBN
978-9-3805-4415-1
Type
conf
Filename
7100399
Link To Document