Text Sentiment Analysis on IMDB Reviews with LSTM | Logistic Regression | Deep Learning Project скачать в хорошем качестве

Text Sentiment Analysis on IMDB Reviews with LSTM | Logistic Regression | Deep Learning Project

Text Sentiment Analysis with IMDB Movie Reviews | Python Project 🔗 Resources and Code: Find the full project code on my GitHub: https://github.com/DataScientist00/Te... Download the dataset here: https://www.kaggle.com/datasets/laksh... Welcome to an exciting coding project where we build a Sentiment Analysis Model using the IMDB Movie Reviews Dataset! In this video, you'll learn how to analyze text data, build models to predict sentiment (positive/negative), and visualize results effectively. What’s Inside: Overview of Sentiment Analysis and its real-world applications Exploring the IMDB dataset: preprocessing and cleaning text Implementing machine learning models using Python Visualizing sentiment trends with graphs and charts Hands-on demo for understanding results This project is perfect for beginners and intermediate coders interested in natural language processing (NLP), Python programming, and data science. Whether you’re a movie buff or a coding enthusiast, you’ll love diving into this engaging project! Key Tools Used: Python Libraries: Numpy, Pandas, Scikit-learn, Matplotlib Text Preprocessing: Tokenization, Lemmatization, Removing Stopwords Machine Learning Models: Logistic Regression, LSTM Don’t forget to like, subscribe, and hit the bell icon to stay updated with more amazing projects! Let me know your thoughts and ideas in the comments section below. I’d love to hear about your projects!