Data Mining in Social Media for Stock Market Prediction

Data Mining in Social Media for Stock Market Prediction

In this thesis, machine learning algorithms are used in NLP to get the public sentiment on individual stocks from social media in order to study its relationship with the stock price change. The NLP approach of sentiment detection is a two-stage process by implementing Neutral v.s. Polarized sentime...

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Bibliographic Details
Main Author: Xu, Feifei
Language:en
Published: 2012
Subjects:
data mining
sentiment detection
machine learning
stock market
social media
natural language processing
StockTwits
Online Access:http://hdl.handle.net/10222/15459

Internet

http://hdl.handle.net/10222/15459

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