Implementing natural language processing with Amazon Comprehend

This service helps you extract insights from unstructured text. Unstructured text information is growing exponentially. A few data source examples are as follows:

• Customer engagement: Call center, issue triage, customer surveys, and product reviews
• Business processes: Customer/vendor emails, product support messages, and operation support feedback
• Records and research: Whitepapers and medical records
• News and social media: Social media analytics, brand trends, and correlated events

Now, the question is, what can you do with this data? How can you analyze it and extract any value out of it? The answer is Amazon Comprehend, which is used to get insights from unstructured data.

Some common uses of Amazon Comprehend include the following:

• Information management system
• More accurate search system on organized topics
• Sentiment analysis of users
• Support ticket classification
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