Amazon Comprehend is a natural-language processing (NLP) service you can use to automatically extract entities, key phrases, language, sentiments, and other insights from documents. For example, you can immediately start detecting entities such as people, places, commercial items, dates, and quantities via the Amazon Comprehend console, AWS Command Line Interface, or Amazon Comprehend APIs. In addition, if you need to extract entities that aren’t part of the Amazon Comprehend built-in entity types, you can create a custom entity recognition model (also known as custom entity recognizer) to extract terms that are more relevant for your specific use case, like names of items from a catalog of products, domain-specific identifiers, and so on. Creating an accurate entity recognizer on your own using machine learning libraries and frameworks can be a complex and time-consuming process. Amazon Comprehend simplifies your model training work significantly. All you need to do is load your dataset

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