Classification of advertising spam reviews

In this study, methods to extract advertising reviews from shopping mall reviews are suggested. Advertising reviews are mostly written by companies and contain advertising contents. There are a few studies regarding the classification of opinion spam documents, which is very rare in foreign studies; however, there are no studies that classify advertising reviews from Korean reviews. In this study, the Naïve Bayes Classifier was used to classify advertising reviews. POS-Tag+Bigram, POS-Tagging+ Unigram, and Bigram were used to extract specific words that are used for probability calculation. When the POS-Tagging+Bigram method was used, the f-measure of advertising reviews was the most exact at 83.1%.