Sentiment analysis is the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, quantify and study affective states and subjective information. The most common use of sentiment analysis in the financial sector is the analysis of financial news, particularly news related to predicting the behavior and possible trend of stock markets. Other uses include analyzing the tweets of influential financial analysts and decision makers.