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Currently, most sentiment anlysis is too broad to detect people's either bullish or bearish sentiment towards different companies. "Under Armour beat third quarter expectations, you should invest" will often be classified as neutral, even though it is clear that this is positive (bullish) in terms of finance. Use articles and their associated change in stock price to label them as either negative or positive to train a classifier
The text was updated successfully, but these errors were encountered:
Currently, most sentiment anlysis is too broad to detect people's either bullish or bearish sentiment towards different companies. "Under Armour beat third quarter expectations, you should invest" will often be classified as neutral, even though it is clear that this is positive (bullish) in terms of finance. Use articles and their associated change in stock price to label them as either negative or positive to train a classifier
The text was updated successfully, but these errors were encountered: