Text Preprocessing in NLP: Stemming and Lemmatization Explained with Python | HINDI

Welcome to our NLP journey! In this exciting YouTube video, we'll delve into the fascinating world of Natural Language Processing (NLP) and explore two essential techniques that form the backbone of text preprocessing - Stemming and Lemmatization. 📝 What is Stemming and Lemmatization? Before we dive into the code, let's understand the core concepts. Stemming involves reducing words to their base or root form by removing suffixes. On the other hand, Lemmatization goes beyond simple rules and uses dictionaries or vocabularies to transform words into their base or dictionary forms, known as lemmas. 🐍 Python and NLTK: Our Toolkit We will be using Python, one of the most versatile programming languages, along with the powerful Natural Language Toolkit (NLTK) library, a go-to choice for NLP tasks. Text Preprocessing in NLP: Stemming and Lemmatization Explained with Python | HINDI My Social Media Links👇: 📸 Instagram: https://www.instagram.com/kritimyantra/ 👻 Twitter : https://twitter.com/kritimyantra 🎥 Youtube Channel: https://www.youtube.com/@kritimyantra 🎯 LinkdIn Channel: www.linkedin.com/in/kritimyantra ➤ Facebook Page: https://www.facebook.com/kritimyantra/ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If You Liked My Video Please Subscribe to My Channel Keep Supporting and Sharing My Videos ********************************* Thank you for Watching! ********************************* For Business Enquiries: [email protected] #kritimyantra #python #nltk #nlp #tokenized