Online advertising identification techniques and implementation using text classification

Online advertising web pages identification has been cuurently a challenging topic in online advertising mornitoring. An improved forward maximu character string match algorithm based on advertises-word-base is introduced by employing weight selection, text feature representation, weight calculating, text classification and text simularity. With text classification and Chinese word segmentation techniques, an online advertising pages recognition method is developed and the proposed method is applied to the development of online advertising monitoring system. The system operation practically achieved satisfactory results.