Natural Language Processing(NLP) - Text Classification | NLP Lecture 6 | End to End | Average Word2Vec

Text classification is a vital aspect of Natural Language Processing (NLP) that involves categorizing text into predefined classes or categories. This task is crucial for various applications, such as spam detection, sentiment analysis, topic categorization, and more. In an NLP lecture on text classification, you'll delve into the techniques, algorithms, and methodologies used to teach machines to automatically classify and understand textual data. Code - https://github.com/campusx-official/nlp-lec4-text-classification ============================ 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] 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ✨ Hashtags✨ #TextClassification #NLP #NaturalLanguageProcessing #MachineLearning #DataScience #TextAnalysis #classificationalgorithms ⌚Time Stamps⌚ 00:00 - Intro 1:04 - Plan of Attack 3:34 - What is Text Classification 5:38 - Types of Text Classification 7:34 - Applications 12:36 - The Pipeline 17:56 - Different Approaches 21:32 - Heuristic Approach 23:16 - Using API 27:14 - Using BoW and n-grams 38:58 - Using Tf-Idf 40:44 - Using Word2Vec 48:33 - Practical Advise