Text Sentiment Analysis on IMDB Reviews with LSTM | Logistic Regression | Deep Learning Project
Автор: Neural Arc
Загружено: 2025-01-07
Просмотров: 445
Описание:
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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