NLP Practical 1 | Tokenization, Stemming & Lemmatization using NLTK (Full Explanation)

In this video, we perform NLP Practical 1 using Python and NLTK library.

This practical covers:
• Tokenization (Whitespace, Punctuation, Treebank, Tweet, MWE)
• Stemming (Porter Stemmer, Snowball Stemmer)
• Lemmatization using WordNet

We also explain:
• What is punkt and wordnet
• Difference between stemming and lemmatization
• Step-by-step code execution
• Output explanation for better understanding

This video is useful for BE / BTech Computer Engineering students preparing for NLP lab practicals and viva.

Code is explained in a simple Hinglish format for easy understanding.

Code Link : https://github.com/gyaansandhi-max/NLP_Practicals

Topics Covered:
NLP, NLTK, Tokenization, Stemming, Lemmatization, Python NLP Practical

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Видео NLP Practical 1 | Tokenization, Stemming & Lemmatization using NLTK (Full Explanation) канала Gyaan Sandhi