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.
- Collecting Dataset
- Find Open Source Model to Enhance Insight from Dataset
- Model Integration
- Dashboard Creation
- Internal Testing
- Write Proper Project Documentation
# Incoming...
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.
- Understanding Public Aspect regards several Election Candidate
- Assesing Public Sentiments
- Proper Information using Interactive QA
- SNA Graph
- Interactive QA
- 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.
Continue development MVP prorotype into mentioned diagram