The Performance Evaluation of Textual Analysis Tools in Financial Markets
17 Pages Posted: 17 Nov 2015
There are 2 versions of this paper
The Performance Evaluation of Textual Analysis Tools in Financial Markets
The Performance Evaluation of Textual Analysis Tools in Financial Markets
Date Written: August 15, 2015
Abstract
The rapid development of textual analysis techniques has paved the way for automatic sentiment analysis. Many studies have been focusing on using sentiments disclosed from social media to predict the financial market performance. However, the underlying value of the messages collected from social media is still not fully understood due to lack of comprehensive apprehending of the performance for different textual analysis methods. In this research, we shed light on this problem by comparing the different classification accuracy of dictionaries and machine-learning techniques in the financial context.
Keywords: Machine Learning, Text Mining, Sentiment Analysis, Social Media
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