This project involves Apache Hadoop's MapReduce and Python to perform stock sentiment analysis on news related to each of NASDAQ's top 100 stocks. The results for each stock are the most commonly found words which can be used to help investors determine confidence in each particular stock.
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Used BeautifulSoup and Hadoop MapReduce to perform word count on top 100 NASDAQ stocks
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