credit transactions; data mining; economics; financial data processing; invasive software; learning (artificial intelligence); pattern classification; Russian carding forum; black market sellers; credit-debit card information; customer feedback; cyber carding crime ecosystems; cyber criminals; deep learning-based sentiment analysis; key cybercrime facilitators; malicious product-service quality; malware-carding sellers; seller product-service quality; snowball sampling; thread classification; top seller identification; underground economy; Computer hacking; Entropy; Malware; Neural networks; Sentiment analysis; Support vector machines; Vectors; carding crime; cybersecurity; deep learning; sentiment analysis; top sellers; underground economy;
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