Filtering product reviews from web search results
Tun Thura Thet, Jin‐Cheon Na, Christopher S. G. Khoo · 2007
This study seeks to develop an automatic method to identify product reviews on the Web using the snippets (summary information) returned by search engines. Determining whether a snippet is a review or non-review is a challenging task, since the snippet usually does not contain many useful features for identifying review documents. Firstly we applied a common machine learning technique, SVM (Support Vector Machine), to investigate which features of snippets are useful for the classification. Then we employed a heuristic approach utilizing domain knowledge and found that the heuristic approach performs equally well as the machine learning approach. A hybrid approach which combines the machine learning technique and domain knowledge performs slightly better than the machine learning approach alone.