You can use Amazon Comprehend to analyze customer interactions in the form of support emails, social media posts, online comments,
telephone transcriptions, etc., and discover what factors drive the most positive and negative experiences. You can then use these insights
to improve your products and services.
Example: Call center analytics
You can use Amazon Comprehend to provide a better search experience by enabling your search engine to index key phrases, entities,
and sentiment. This enables you to focus the search on the intent and the context of the articles instead of basic keywords.
Example: Index and search product reviews
You can use Amazon Comprehend to organize and categorize your documents by topic for easier discovery, and then personalize content
recommendations for readers by recommending other articles related to the same topic.
Example: Personalize content on a website
Use custom classification to automatically categorize inbound customer support documents, such as online feedback forms, support tickets,
forum posts, and product reviews based on their content. For example, account cancellation requests, billing problems, change of address, etc.
Then, use custom entities to automatically extract relevant information like part numbers, loyalty tiers, and product names to quickly route
documents the team best equipped to solve the customer problem and improve overall customer satisfaction.
Example: Customer support ticket handling
In oncology, it is critical that the right selection criteria are quickly discovered to recruit patients for clinical trials. Amazon
Comprehend Medical understands and identifies complex medical information found in unstructured text to help make indexing and searching
easier. You can use these insights to identify recruit patients to the appropriate clinical trial in a fraction of the time and cost
from manual selection processes.
Example: Clinical trial recruitment
Natural Language Processing
USD/user/month (billed monthly)