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It uses classification by voting among logistic regression, C4.5, Support Vector Machine (SVM), JRip, and Random Forest classifiers to separate fake reviews from authentic ones. Performance was better than that of selected baselines.
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This page is a summary of: Distinguishing between authentic and fictitious user-generated hotel reviews, July 2015, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icccnt.2015.7395179.
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