Skip to content
ShinyQ HQ: Back to HQ

← Back to the journey

L2:research-ewallet-sentiment-2021 · Milestone

Data scientist and paper co-author

Independent research

Aug 2021 to Oct 2021Verified

I analysed sentiment by aspect in app-store reviews of four Indonesian e-wallets using CNN and LSTM. This was our selection-phase entry in the data competition my team later won.

Highlights

  • Co-authored paper: Indonesian Digital Wallet Sentiment Analysis Using CNN and LSTM Method
  • Advanced from this selection-phase work to 1st place at the IFEST 2021 Data Analysis Competition

Tech stack

  • Python
  • TensorFlow
  • Streamlit