Devashish-10/Product-Success-Score-estimation-using-Sentiments-Analysis
View on GitHub ↗Related repositories →Sentiment analysis of TeePublic reviews using SVM. This project preprocesses text, handles class imbalance with SMOTE, and uses TF-IDF vectorization for feature extraction. The model is trained on processed data and evaluated with accuracy, classification report, and confusion matrix.
active 2025-01-11 → 2025-01-11 (UTC)
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Line chart, 1 days from 2025-01-11 to 2025-01-11. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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