Customer Review Sentiment Anaylsis #705
Merged
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Pull Request for ML-Crate 💡
Issue Title: Customer Review Sentiment Anaylsis
Closes: #698 number that will be closed through this PR
Describe the add-ons or changes you've made 📃
Firstly Did Some EDA like checking all the features set, consider best required one and drop the rest of the feature set. Since the text data so to vectorized it used TF-IDF and trained few model and all model accuracy where around 89-90 only
Type of change ☑️
What sort of change have you made:
How Has This Been Tested? ⚙️
So to test the model i have dump the model in pickle file, which i have used in webapp along with vectorizer as its not efficient to reuse same model to vector the text so used the same preprocessing way, tested with a positive review and the model also predicted the same
Checklist: ☑️