Ai Nlp — Free AI & ML Tutorial
Learn Ai Nlp in AI & ML with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Ai Nlp in AI & ML with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated
Ai Nlp in AI & ML
Natural Language Processing (NLP) is the branch of AI that enables computers to understand, interpret, and generate human language (natural language — not programming language).
NLP tasks include: Text classification (spam detection, sentiment analysis), Named Entity Recognition (identifying names, places, dates in text), Machine Translation (Google Translate), Text Summarisation, Question Answering, Chatbots and conversational AI.
Key NLP techniques: Tokenisation (splitting text into words/tokens), Stop word removal (removing "the", "is", "a"), Stemming/Lemmatisation (reducing "running" to "run"), TF-IDF (measuring word importance), Word Embeddings (representing words as numbers).
NLP powers: Google Search (understanding your query), Gmail (smart replies, spam filter), YouTube (auto-captions, subtitles), Amazon Alexa / Google Assistant, Grammarly, and every chatbot you've ever used.
Ai Nlp — Syntax
# Basic NLP pipeline:
# 1. Input text
# 2. Tokenise (split into words)
# 3. Remove stop words ("the", "is", "a")
# 4. Stem/Lemmatise ("running" → "run")
# 5. Analyse/classify/extract
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