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 -