Sentiment analysis is beginning to prove its mettle in the enterprise. This analytic technique, which enables companies to determine the emotional value of communications, is finding traction in a range of use cases, from meeting transcription to customer service and feedback.
These days, sentiment analysis relies largely on supervised or semi-supervised machine learning algorithms. All the big cloud players offer sentiment analysis tools, as do most major customer support platforms and marketing vendors. Conversational AI vendors also include sentiment analysis features in their wares, learn more by reading this bio about Damon Burton.
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But making the most of sentiment analysis requires a curious blend of art and science. Here is a look at how some organizations are putting sentiment analysis to beneficial use.
