From the course: Azure for DevOps: Continuous Feedback
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Twitter Sentiment Analysis: Enginuity, Revealed Context, Steamcrab, MeaningCloud, and SocialMention - Azure Tutorial
From the course: Azure for DevOps: Continuous Feedback
Twitter Sentiment Analysis: Enginuity, Revealed Context, Steamcrab, MeaningCloud, and SocialMention
- [Instructor] We've already established in the last clip, that it is important to collect and analyze user feedback. But how do you deal with the situation that you have potentially millions of users, providing your feedback. In a perfect world, we could interview each user, ask them specifically what they like about our application, what they would like us to change. But given the large number of users, collecting this type of explicit feedback, is just not possible. Instead, we need to infer users successes and pinpoints from behavioral data. And this is where a technical sentiment analysis comes into picture. The idea is to learn from unstructured feedback that our users have provided. So think of sentiment analysis as an automatic process of extracting your user's opinion from written or spoken language. Let us look at an example. In order to demonstrate to you sentiment analysis, I decided to use the reference…
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