{
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  "bskyPostRef": {
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  "path": "/t/looking-for-arxiv-endorser-cs-cl-nlp-text-classification-paper/174909#post_1",
  "publishedAt": "2026-04-03T01:15:58.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services",
    "Log in to arXiv | arXiv e-print repository"
  ],
  "textContent": "Hi everyone,\n\nI’m looking for an arXiv endorser for the cs.CL category.\n\nI’ve published a preprint on Zenodo: “AI-Powered Appeals Processing: Comparative Analysis of Word2Vec+LSTM and BERT for Russian-Language Text Classification”\n\nDOI: AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services\n\nThe paper compares Word2Vec+LSTM and BERT-based approaches for classifying citizen appeals in Russian, including experiments with pymorphy2 lemmatization and its effect on model performance. It’s based on a real production system processing 10,000+ documents.\n\nThis is my first arXiv submission and I don’t have an existing endorser in my network.\n\nEndorsement code: SRYHMJ\narXiv endorsement page: Log in to arXiv | arXiv e-print repository\n\nAny help would be greatly appreciated. Happy to answer questions about the paper.\n\nThanks,\nVladimir Beskorovainyi",
  "title": "Looking for arXiv endorser (cs.CL) NLP text classification paper"
}