Evaluating sentiment in financial news articles
نویسندگان
چکیده
منابع مشابه
Evaluating sentiment in financial news articles
Can the choice of words and tone used by the authors of financial news articles correlate to measurable stock price movements? If so, can the magnitude of price movement be predicted using these same variables? We investigate these questions using the Arizona Financial Text (AZFinText) system, a financial news article prediction system, and pair it with a sentiment analysis tool. Through our an...
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We investigated the pairing of a financial news article prediction system, AZFinText, with sentiment analysis techniques. From our comparisons we found that news articles of a subjective nature were easier to predict in both price direction (59.0% vs 50.4% without sentiment) and through a simple trading engine (3.30% return vs 2.41% without sentiment). Looking into sentiment further, we found t...
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The emergence of web 2.0 applications has greatly contributed to the increase in volume of information available online today. User generated content can help organizations realize the demands of the public be it in e-commerce, politics or newsrooms. Sentiment analysis plays a pivotal role in the mining of such information thus it is a crucial tool not only in organizations’ decision making pro...
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ژورنال
عنوان ژورنال: Decision Support Systems
سال: 2012
ISSN: 0167-9236
DOI: 10.1016/j.dss.2012.03.001