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download data, (b) text mining (and sentiment analysis) for web scraped Twitter data, and (c) other big data analytics tools …
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Computational methods to gauge investor sentiment from commonly used online data sources that rely on machine learning classifiers and lexicons have shown considerable promise, but suffer from measurement and classification errors. In our work, we develop a simple, direct and unambiguous...
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Over the past 15 years,there have been a number of studies using text mining for predicting stock market data. Two …. However, these approaches either completely neglect interactions between the features extracted from the text, or they only …
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