检测越南意见垃圾邮件
Detecting Vietnamese Opinion Spam
摘要：
近年来，越南语自然语言处理已被学术界和商业界的专家研究。然而，现有的文件都集中在信息分类或从文档中提取。在电子商务网站、论坛和社交网络迅速发展的今天，产品、人物、组织或奇迹成为网络社区评论或评论的对象。许多人经常使用这些评论来做出决定。然而，有许多人或组织利用评论误导读者。因此，有必要在评论中发现这些不良行为。在本文中，我们研究这个问题，并提出了一个适当的方法来检测越南评论是垃圾邮件或非垃圾邮件。我们的方法的准确性高达90%。
英文摘要：
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%.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
