Natural Language Processing(NLP) - Text Preprocessing | NLP Course Lecture 3

In this video, we'll break down the steps involved in getting text data ready for analysis. Think of it as cleaning and organizing text so that it's easier to understand and work with. This process helps us get valuable insights when we're dealing with large amounts of text information. Code used: https://www.kaggle.com/campusx/text-preprocessing Assignment Links: https://api.themoviedb.org/3/movie/top_rated?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US&page=471 https://api.themoviedb.org/3/genre/movie/list?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ✨ Hashtags✨ #DataScience #TextPreprocessing #Stemming #Tokenization ⌚Time Stamps⌚ 00:00 - Intro 1:01 - Introduction 4:03 - Lowercasing 7:53 - Remove HTML Tags 12:44 - Remove URLs 15:16 - Remove Punctuation 23:29 - Chat word treatment 26:20 - Spelling Correction 28:11 - Removing Stop words 31:25 - Handling Emojis 34:11 - Tokenization 49:18 - Stemming 57:50 - Lemmatization 1:01:33 - Assignment