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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.

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NnA301023/ElectionAspectAnalyzer

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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.

Dashboard Interface

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

Contributors

Future Improvements

Continue development MVP prorotype into mentioned diagram

Dashboard Interface

About

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.

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