Natural language processing (NLP) uses machine learning to reveal the structure and meaning of text. With natural language processing applications, organizations can analyze text and extract information about people, places, and events to better understand social media sentiment and customer conversations.
Learn how to derive insights from unstructured natural language text using Google machine learning.
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As a branch of artificial intelligence, NLP (natural language processing), uses machine learning to process and interpret text and data. Natural language recognition and natural language generation are types of NLP.
A subtopic of NLP, natural language understanding (NLU) is used to comprehend what a body of text really means. NLU can categorize, archive, and analyze text. NLP goes a step further to enable decision-making based on that meaning.
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Use custom entity extraction to identify domain-specific entities within documents without having to spend time or money on manual analysis.
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