Скачать или смотреть 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

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