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Demolytics

Kelompok Pippop

What it is

Demolytics is an end-to-end machine learning application for sentiment analysis of Indonesian YouTube comments using transformer models (IndoBERT and IndoBERTweet) and a custom ensemble approach. It includes data preprocessing, model training with class imbalance handling, evaluation, and deployment via Docker.

Scored atb32ffb18 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

  • Machine Learning90%
  • NLP & LLMs85%
  • Data Science60%
  • MLOps20%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board
  1. 40, shared rankmines-livive-netTraining Experiment · JavaScript57.4/100ImplementationJarad Peckenpaugh
  2. 45RL-HexyAI Developer Tool · Python57.3/100ImplementationDaffa
  3. 46DemolyticsML Application · Jupyter Notebook57.0/100ImplementationDaffa
  4. 47SingWithMeInference System · TypeScript56.9/100Implementationemmjayh
  5. 48chtbx-livive-netML Application · Python56.7/100ImplementationJarad Peckenpaugh

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