code-alchemist01/Lstm-sentiment-analysis
LSTM-based sentiment analysis with Streamlit web interface. Real-time text sentiment prediction using PyTorch deep learning model trained on IMDB dataset. Achieves 86.14% accuracy with modern UI and batch processing capabilities.
This tool helps you understand the emotional tone of text, determining if it's positive or negative. You input text, and it provides a real-time sentiment prediction along with a confidence score. It can analyze single pieces of text or process multiple texts in a batch, making it useful for market researchers, customer service managers, or anyone needing to gauge public or customer opinion.
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Use this if you need a straightforward way to analyze the sentiment of written content, such as reviews, social media posts, or survey responses, without requiring an internet connection.
Not ideal if you require nuanced sentiment analysis beyond simple positive/negative classification, or if your primary language of analysis is not English.
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10
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Language
Python
License
MIT
Category
Last pushed
Sep 30, 2025
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