ElectionAspectAnalyzer

Indonesian-AI Final Project aimed at providing in-depth insights into the 2024 election through social network analysis and sentiment assessment. We employ Social Network Analysis (SNA) and Aspect-Based Sentiment Analysis (ABSA) techniques to understand public interactions and opinions regarding the election.

TODO's

• Collecting Dataset
• Find Open Source Model to Enhance Insight from Dataset
• Model Integration
• Dashboard Creation
• Internal Testing
• Write Proper Project Documentation

How To Use

# Incoming...

Project Outcome

Gain a comprehensive understanding of the 2024 election in Indonesia through the use of Social Network Analysis (SNA) and Aspect-Based Sentiment Analysis (ABSA) techniques.

Impact Outcome

1. Understanding Public Aspect regards several Election Candidate
2. Assesing Public Sentiments
3. Proper Information using Interactive QA

Features

• SNA Graph
• Interactive QA

Technique Used

• Prompting: One Shot Learning.
• Part-Of-Speech for Aspect Detection.
• Aspect Pair Classification for Sentiment Detection per Sentence & Aspect.
• Named Entity Recognition for Person or Organization Recognize in Tweets Comment.

Tech Stack

• OpenAI
• Langchain
• Streamlit
• Streamlit Agraph

Contributors

• Muhammad Alif Ramadhan
• Devandra Alandra Wicaksono
• Eko Prasetyo
• Yuliana
• Raphon Galuh C.

Future Improvements

Continue development MVP prorotype into mentioned diagram