Natural language understanding: Difference between revisions
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RobowaifuDev (talk | contribs) (Created page with "'''Natural language understanding''' ('''NLU''') is a subfield of natural language processing (NLP), which involves analyzing complex natural language to interpret its meaning and intent. It also includes tasks such as sentiment analysis, entity recognition, and keyword extraction. NLU enables computers to understand the meaning of human language and interpret it in order to respond accordingly. The main difference between NLU and NLP is that while NLP focuses on und...") |
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Latest revision as of 08:53, 29 December 2022
Natural language understanding (NLU) is a subfield of natural language processing (NLP), which involves analyzing complex natural language to interpret its meaning and intent. It also includes tasks such as sentiment analysis, entity recognition, and keyword extraction. NLU enables computers to understand the meaning of human language and interpret it in order to respond accordingly. The main difference between NLU and NLP is that while NLP focuses on understanding the literal meaning of words and phrases, NLU attempts to understand the intent and context of user input.