Topic Modeling App with LDA This app performs topic modeling on text input using Latent Dirichlet Allocation (LDA). You can paste text or upload a .txt file, and the app predicts the dominant topic, shows a summary, keywords, and a visualization of the topic distribution.
Features Upload or paste text input
Preprocessing with tokenization and lemmatization
Topic prediction using a pre-trained LDA model
Interactive bar chart of topic probabilities
Download prediction results as .txt
Feedback option for prediction quality
Auto-cleanup of old prediction files
Download zipped logs of past predictions
How to Use Paste your text or upload a .txt file
Click Predict Topic
View the predicted topic, summary, keywords, and chart
Download the prediction result if needed
Provide feedback about the prediction accuracy Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference