Detecting Vietnamese Opinion Spam
This addresses the need to filter deceptive reviews in Vietnamese online communities, though it is incremental as it applies existing spam detection concepts to a new language domain.
The paper tackles the problem of detecting opinion spam in Vietnamese reviews, which is crucial due to misleading content on e-commerce and social platforms, achieving an accuracy of 90% with their proposed method.
Recently, Vietnamese Natural Language Processing has been researched by experts in academic and business. However, the existing papers have been focused only on information classification or extraction from documents. Nowadays, with quickly development of the e-commerce websites, forums and social networks, the products, people, organizations or wonders are targeted of comments or reviews of the network communities. Many people often use that reviews to make their decision on something. Whereas, there are many people or organizations use the reviews to mislead readers. Therefore, it is so necessary to detect those bad behaviors in reviews. In this paper, we research this problem and propose an appropriate method for detecting Vietnamese reviews being spam or non-spam. The accuracy of our method is up to 90%.