TEXT AI TECHNOLOGIES > AI FEATURES
Sentiment analysis involves examining digital text to figure out if the emotions conveyed are positive, negative, or neutral. Nowadays, businesses deal with loads of text data from sources like emails, customer chats, social media, and reviews. Sentiment analysis tools help scan this text to detect the author’s feelings about a subject automatically. Companies leverage these insights to enhance customer service and boost their brand image.
Below are several examples of AI sentiment analysis:
Customer Feedback Analysis in Retail
Retailers can use AI sentiment analysis to analyze customer reviews and comments to identify trends, gauge customer satisfaction
Market Sentiment Analysis in Finance
AI sentiment analysis can be used to analyze market sentiment by processing news articles and other textual data to gain insights into market trends
Patient Satisfactory Analysis in Healthcare
AI can be used to analyze patient feedback obtained through surveys & online reviews to identify areas of improvement in services, facilities, and patient care
There are many companies offering similar services when it comes to sentiment analysis APIs. However, these services may not all work the same way or be as good as each other. Some might be faster or more accurate, but they might also cost more. It’s a good idea to try out a few different options to see which one works best for you.
By aggregating several providers in one software development platform, Xamun allows you to use different kinds of AI tools for your software.
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