Text Analytics API gathers insights from text by uncovering entities, key phrases, relationships, and expressed sentiments. Even better, Microsoft says users can begin using their system without any prior experience with NLP.
The sentiment analysis feature stands out because it returns a percentage of positive vs. negative sentiment. As an example, one review praised the food, friendliness, and atmosphere of a steakhouse. The review also mentioned that the customers believed they waited too long for their food. The software expressed an 86-percent positive and 14-percent negative score.
Examples of Text Analytics API customers include Kotak Mahindra Bank, Royal IHC, and LaLiga.
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