The goal of this project was to deliver marketing/product insights for a popular clothing brand. Graciously, Prof. Julian McAuley at UC-San Diego gave me permission to use his “Amazon Product Data” database which consists of hundreds of amazon product reviews. For the project I leveraged two datasets: the first being meta-data about the products and the second being the reviews about products. Below you can find the pitch deck for my presentation, along with a link to my Google Colab notebooks where all of my work can be found. Feel free to contact me if you have any questions.
Pitch Deck
Link to Google Colab notebook
The actual analysis for my project can be found here: Colab Notebooks. There are 6 python3 notebooks in total:
- Pulling ASINS for all Carhartt products
- Pulling reviews for Carhartt products
- Preprocessing the text for topic modeling
- Running topic models
- Evaluating topic models
- Classification
J.PULITZER 