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Why semantic analysis trumps sentiment analysis

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Social media expert Paul Dunay says that while sentiment analysis has been a widely used measure of how customers view a company, semantic analysis—which looks at the structure of data—is more statistically reliable. “Semantic analysis allows you to cluster different data elements based on similarity, rather than preset classifications such as positive, negative and neutral,” Dunay writes.
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