Movie Review Sentiment Analysis Project Part-3 | Data Preprocessing on IMDB Dataset using NLP скачать в хорошем качестве

Movie Review Sentiment Analysis Project Part-3 | Data Preprocessing on IMDB Dataset using NLP

Hello and welcome back! In this video, we’re moving a step ahead in our NLP journey! Building on the text preprocessing techniques covered in the previous session, we’ll now apply them directly to the IMDB Movie Reviews Dataset. 🎯 What you’ll learn in this video: 📦 Installing all the necessary libraries to set up your NLP environment 🗂️ Loading and exploring the IMDB dataset 🛠️ Applying full text preprocessing pipeline: Lowercasing Removing punctuation Tokenization with nltk Removing stopwords Stemming & Lemmatization ✅ Preparing the X (features) and Y (labels) for our model 🧩 Splitting data into Training and Test sets for model development This video is crucial for anyone looking to understand not just the concepts of text cleaning, but also how to implement them practically on real-world datasets. By the end, you'll have a clean, structured dataset ready for building machine learning models! 🔔 Don’t forget to like, comment, and subscribe for more hands-on NLP and Machine Learning tutorials! -----------Content of Video---------------- 00:00 - Recap 00:21 - Intro 00:31 - Libraries Installation Guide 02:14 - Starting Project 03:53 - Loading Dataset 05:11 - Data Preprocessing 16:27 - Training and Test Set Preparation 18:50 - Summary --------------------------------------------------------- 👉 Previous Video (Text Preprocessing in NLP Explained):    • Movie Review Sentiment Analysis Project Pa...   👉 IMDB Dataset: https://www.kaggle.com/datasets/laksh... 👉 Project Resources: https://drive.google.com/drive/folder... 👉 Full Playlist:    • Movie Review Sentiment Analysis Project fr...   #SentimentAnalysis #NLPProject #TextPreprocessing #IMDBDataset #DataCleaning #MachineLearningProject #TextClassification #DeepLearningNLP #PythonNLP #NLPTutorial #SentimentClassifier #NLPWithPython #DataScienceProject #Stemming #Lemmatization #TrainTestSplit #TextProcessingPython