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In a recent study conducted by SMACOM, it has been found that news sentiment score and access ranking score can be used for strong cross-sectional return predictive power. This study used Natural Language Processing (NLP) and neural network technology to evaluate whether the news released by NIKKEI and/or QUICK was positive, negative, or neutral about a given firm’s predicted future performance.