Natural Language Processing
Natural Language Processing
The growth of digital communication has resulted in a massive amount of text data being produced by computer users worldwide. This text data, which may include emails, product reviews, or medical reports, is unstructured and not easily accessible for analysis.
However, advances in Natural Language Processing (NLP) have made it possible to extract valuable information and uncover hidden patterns within these texts.
Natural Language Understanding (NLU) and Natural Language Processing (NLP) are powerful techniques that allow for a deeper understanding of human language.
With these techniques, NLP models can not only analyze text data, but also generate responses that are more human-like.
For example, in a customer support context, NLP models can respond to customer inquiries in a way that is both accurate and conversational.
However, advances in Natural Language Processing (NLP) have made it possible to extract valuable information and uncover hidden patterns within these texts.
Natural Language Understanding (NLU) and Natural Language Processing (NLP) are powerful techniques that allow for a deeper understanding of human language.
With these techniques, NLP models can not only analyze text data, but also generate responses that are more human-like.
For example, in a customer support context, NLP models can respond to customer inquiries in a way that is both accurate and conversational.
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