Demo of Insight Data Science project with the goal of building trust in products on AliExpress by showcasing helpful reviews.

1. TrustExpress
Building Trust in AliExpress by showcasing Helpful Reviews
Rebecca Reitz

2. AliExpress appeals to International Customers

3. But it is hard to tell which items you can trust

4. But it is hard to tell which items you can trust

5. The reviews are primarily in Russian

6. Autotranslate works only some of the time

7. And sorting for reviews from the USA doesn’t help

8. Introducing: TrustExpress
trustexpress.site

9. Amazon reviews have helpfulness labels

10. Amazon reviews are loaded into PostgreSQL
Select reviews
with >5 votes
~ 1.2 million reviews

11. Pre-processing is performed in pandas
~100,000 reviews
Pre-Processing
Select reviews
with >5 votes
~ 1.2 million reviews

12. A helpfulness predictor is trained on the reviews
TFIDF tokenizer
SMOTE
Logistic Regression (F1 - 84%)~100,000 reviews
Pre-Processing
Select reviews
with >5 votes
~ 1.2 million reviews

13. The pre-trained models are applied to AliExpress
TFIDF tokenizer
SMOTE
Logistic Regression (F1 - 84%)~100,000 reviews
Pre-Processing
Select reviews
with >5 votes
~ 1.2 million reviews

14. The model values interactions with the seller

15. The model values descriptive terms

16. 16
Rebecca
Reitz
PhD, Materials Engineering
Ceramics for Airplane Engines