Natural language processing enables machines to understand human language from "summary" of Machine Learning by Ethem Alpaydin
Natural language processing (NLP) is a subfield of artificial intelligence that focuses on enabling machines to understand and process human language. This is a challenging task because human language is complex and nuanced, with many subtleties and variations. NLP involves developing algorithms and models that can analyze and interpret text, speech, and other forms of human communication. By leveraging techniques from machine learning and computational linguistics, NLP researchers aim to create systems that can understand, generate, and respond to human language in a natural and meaningful way.
One of the key goals of NLP is to enable machines to extract meaning from unstructured text data. This involves tasks such as text classification, sentiment analysis, named entity recognition, and machine translation. By analyzing the words, syntax, and semantics of a text, NLP systems can identify patterns and relationships that reveal the underlying meaning of the content. This enables machines to perform a wide range of language-related tasks, from answering questions and...
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