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Berin'kin 2026

An extractive multi-document news summarization web platform for Indonesian articles, combining Sentence BERT semantic embeddings and Maximal Marginal Relevance (MMR) to synthesize news without redundancy.

Released
2026
Agency :Skripsi / ResearchPosition :NLP & Full Stack EngineerStack :Python ; Streamlit ; Sentence BERT ; MMR ; NLP ; Scikit-learnStatus :Completed ;
Berin'kin showcase 1
Berin'kin showcase 2