Applying Natural Language Processing to Financial Sentiment Analysis
Abstract
Sentiment analysis is the process of recognizing, categorizing, and measuring sentiment expressed in texts. Within the field of finance, sentiment analysis is quickly becoming increasingly important. The finance industry has long been aware of how mood can alter the dynamics of proceedings in financial markets and the way in which investors make choices regarding trading and investment. However, the area of sentiment analysis for financial markets has expanded far beyond just investor sentiment and is currently an intrinsic part of daily business operations across a wide variety of fields and niche focuses. In the data-driven finance sector of today, accumulating numerous resources allows for the correct estimation of the sentiment of any subject.
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