Pre- and post-purchase classification suing product questions

Project Structure

I.EAD

1.Distribution Check

2.Text Processing

3.Text Checking for top 50 items

4.Experiment & Preparetion

a.TF-IDF

b.BERT Embdedding

c.Product Grouping

5. Full Dataset

II. Training & Benchmarking

1.Initial Models & TF-IDF & Raw Data & Top 50 Popular Product

2.Initial Models & Embedding & Raw Data & Top 50 Popular Product

3.Initial Models & Grouping & Raw Data & Top 50 Popular Product

4.Visualization

III.Deploying

1.Database

2.Model as API & UI

3.Analytics UI