- Get better answer from your text
Amazon Comprehend can discover the meaning and relationships in text from customer support incidents, product reviews, social media feeds, news articles, documents, and other sources. For example, you can identify the feature that’s most often mentioned when customers are happy or unhappy about your product.
- Identify topics in a collection of text
Amazon Comprehend can analyze a collection of documents and other text files (such as social media posts) and automatically organize them by relevant terms or topics. You can then use the topics to deliver personalized content to your customers or to provide richer search and navigation. For example, if you have an extensive collection of news articles, you can automatically group them by subject matter to enable your site to suggest new articles to visitors based on what they’ve read previously.
- Continually learning, always improving
Amazon Comprehend is always learning from new data and continually gains a deeper understanding of entities, key phrases, sentiments, and topics. The learning data covers a wide range of domains including Finance, Health, Media, Telecom, Education, Government, Advertising, and many others. The service also learns from Amazon.com product descriptions and customer reviews, which is one of the largest collections of natural language in the world.
- Integrated with Amazon S3 and AWS Glue
Amazon Comprehend is integrated with Amazon S3 and AWS Glue. You can use Amazon S3 to store documents and texts, and directly access them from Amazon Comprehend. In addition, you can use AWS Glue to load documents and texts from various AWS data stores (Amazon Redshift, Amazon RDS, Amazon DynamoDB, etc.) to Amazon Comprehend, and subsequently load the results from Amazon Comprehend back into these AWS data stores for downstream analytics.