Papers by Stefan Erben

    1 papers
    ScamSpot: Fighting Financial Fraud in Instagram Comments (2024.eacl-demo)

    Copied to clipboard

    Challenge: Existing research on spam and scams on Instagram is limited to theoretical concepts and only a recall of 11.51%.
    Approach: They propose a system that includes a browser extension, a fine-tuned BERT model and a REST API to solve the problem of spam and fraudulent messages in the comment sections of Instagram pages.
    Outcome: The proposed system includes a browser extension, a fine-tuned BERT model and a REST API.

    What is GenGO?

    GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

    Information

    About
    Limitations