E-commerce Text Review Analysis
In this post, I will share what my teammate, Joseph Eric Amadeo, and I have done on our second Blibli Future Program Data Track project. This project requires knowledge in Data Engineering, Data Analysis, and Data Science. Are you readyyyyy?!
About the project
In this project, we are required to extract reviews (comments) from Google Play Store and Apple Store. With these reviews, we will then create a dashboard and perform topic modeling using deep learning.
The reviews considered in this project are the top 10 e-commerce apps cited from Selular.id, which are Tokopedia, Shopee, Bukalapak, Lazada, Blibli, Orami, Ralali, Bhinneka, JD.ID, and Zalora.
Data Engineering
Please refer to this link to view the data engineering explanation.
Data Analysis
Please refer to this link to view the data analysis explanation.
Data Science
Please refer to this link to view the data science experiment.
Acknowledge
Being a part of the Blibli.com FUTURE Program has been one of the greatest experiences we had. From October 2021 up to today, February 2022, we have learned a lot from data extraction, data visualization, and topic modeling with deep learning. We would like to thank you for the never-ending support to our mentors, Kak Liana Sianturi as the data engineering mentor, Kak Hans Gustav Otita as the data analysis mentor, and Kak Ferdi Ghozali as the data science mentor. I hope this writing can be used as your reference as well as to expand your knowledge regarding the data field. Should you have any questions, please feel free to reach me on my LinkedIn profile here and Eric’s. Thanks a lot for your support by reading this post up to this section. Happy learning!
