Numerous scientific attempts have been made to predict the stock market but there has not been one method that accurately predicts stock price movement. A group of websites was chosen based on the Alexa site list for the investing sub-category located under the business category. A custom crawler was written for every site that is listed on the Alexa website. Weights were generated based on the information for total sites linking a website and a sentiment analysis was performed by an analyzer that is trained using social media and news data.
Worcester Polytechnic Institute
Interactive Qualifying Project
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