May 14, 2024, 4:49 a.m. | Priyabrata Karmakar, John Hawkins

cs.CL updates on

arXiv:2405.06704v1 Announce Type: new
Abstract: Online commerce relies heavily on user generated reviews to provide unbiased information about products that they have not physically seen. The importance of reviews has attracted multiple exploitative online behaviours and requires methods for monitoring and detecting reviews. We present a machine learning methodology for review detection and extraction, and demonstrate that it generalises for use across websites that were not contained in the training data. This method promises to drive applications for automatic detection …

abstract application arxiv commerce detection generated importance information machine monitoring multiple platform products recognition review reviews type unbiased

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