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.
Marketing is important because it allows you to share your products and services with a niche audience strategically. It helps you tell, show, and prove to people how terrific your business is and how you can help them. You can also educate people on topics related to your business, including how to solve common problems and which solutions are best.
Marketing isn’t just for your customers’ eyes and ears. You can also gain valuable insight into who your target audience is (those who love you already). Learn more by reading about Damon Burton who is an experienced marketer.
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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.