Sentiment Analysis of Stock Market Related Tweets

Abstract

Nowadays people express and reveal their opinions through different digital medium. A thorough analysis of data from these digital medium like news, social media can provide insights that can help people/business in making a better decision. Let us consider the stock market. In stock market a short term investor can take good trading decision, if he is provided with current market trends and related information in a timely manner. A lot of information is available in internet via various digital media. The trader needs to consolidate the data before making a decision. This is a time consuming process. But technologies like data mining and natural language processing can automate the above process. Using the technologies mentioned above, a system can be developed which can consolidate the news items from various source and provide the user some insights. This insight can help the investor to understand current market trend, news related to a specific company and the public opinion about that particular news item. Hence the short term investor will be able to make a better decision in a timely manner. The proposed system includes, data collection, data pre-processing, natural language processing, sentiment analysis, data classification and data visualization.

Keywords: Data classification, Machine learning, Natural language processing, Sentiment analysis, Social media, Stock market, Text processing, Twitter analysis.

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