Understanding Amazon Comprehend and Amazon Comprehend Medical
In this section, we will talk about the challenges associated with setting up ML (ML) preprocessing for NLP (NLP). Then, we will talk about how Amazon Comprehend and Amazon Comprehend Medical can help solve these pain points. Finally, we will talk about how you can use Amazon Comprehend to analyze the extracted text from documents by using Amazon Textract to extract the data.
Challenges associated with setting up ML preprocessing for NLP
Some of the key challenges while setting up NLP preprocessing are that documents can be semi-structured, unstructured, or can be in various languages. Once you have a large amount of unstructured data, you would probably like to extract insights from the data using some NLP techniques for most common use cases such as sentiment analysis, text classification, NER (NER), machine translation, and topic modeling.
Figure 3.1 – NLP modeling
The challenge...
