Natural Language Processing (NLP) is a field of computer science and artificial intelligence (AI) that studies how computers and humans interact in natural language. The goal of NLP is to create models and algorithms that allow computers to interpret, generate, manipulate, and understand human languages. NLP has five steps: Lexical analysis, Syntactic analysis, Semantic analysis, Discourse integration, and Pragmatic analysis. Some NLP subfields include: Sentiment analysis: Also known as opinion mining, this technique determines if data is positive, negative, or neutral. For example,... Show more Natural Language Processing (NLP) is a field of computer science and artificial intelligence (AI) that studies how computers and humans interact in natural language. The goal of NLP is to create models and algorithms that allow computers to interpret, generate, manipulate, and understand human languages. NLP has five steps: Lexical analysis, Syntactic analysis, Semantic analysis, Discourse integration, and Pragmatic analysis. Some NLP subfields include: Sentiment analysis: Also known as opinion mining, this technique determines if data is positive, negative, or neutral. For example, businesses can use sentiment analysis to monitor brand and product sentiment in customer feedback. Text summarization: This process uses machine learning and deep learning models to summarize large amounts of text into their most important parts. Machine translation: This subfield uses AI to automatically translate text from one language to another, providing translation services and multilingual support in global applications. Word sense disambiguation: This subfield determines the intended meaning of a word in a given context. For example, word sense disambiguation helps distinguish the meaning of the verb "make" in "make the grade". Show less
Natural Language Processing (NLP) is a field of computer science and artificial intelligence (AI) that studies how computers and humans interact in natural language. The goal of NLP is to create models and algorithms that allow computers to interpret, generate, manipulate, and understand human languages.
NLP has five steps: Lexical analysis, Syntactic analysis, Semantic analysis, Discourse integration, and Pragmatic analysis.
Some NLP subfields include:
Sentiment analysis: Also known as opinion mining, this technique determines if data is positive, negative, or neutral. For example, businesses can use sentiment analysis to monitor brand and product sentiment in customer feedback. Text summarization: This process uses machine learning and deep learning models to summarize large amounts of text into their most important parts. Machine translation: This subfield uses AI to automatically translate text from one language to another, providing translation services and multilingual support in global applications. Word sense disambiguation: This subfield determines the intended meaning of a word in a given context. For example, word sense disambiguation helps distinguish the meaning of the verb "make" in "make the grade".
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