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What are the NLP phases?

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The various stages of natural language processing (NLP) can be broadly categorized as follows: 

  • Text Preprocessing- The raw text data is cleaned and formatted to be suitable for NLP algorithms.

  • Tokenization- The text is broken down into individual words, phrases, or other meaningful units called tokens. 

  • Part-of-speech Tagging - Assigns each word in the text a corresponding part of speech.

  •  Parsing - Involves analyzing the grammatical structure of a sentence, including identifying the subject, object, and verb phrases.

  •  Named Entity Recognition - Involves identifying and classifying named entities such as people, organizations, and locations in the text. 

  • Sentiment Analysis - Analyzes the tone, emotion, and attitude expressed in a text. 

  • Text Summarization - Condenses a large amount of text into a shorter summary while retaining the key information. 

  • Machine Translation  - Translates text from one language to another.

If you want to explore NLP, then check out this video below for more information -

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