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A comparison of similarity measures for online social media Thai text classification

机译:在线社交媒体泰语文本分类的相似性度量比较

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Social media is widely used as a channel of communication in general purposes, including the comment that are related to retail business. It is a highly effective communication tool for direct interacting with their customers. Growth rate of the users is rapidly increasing, because they use this channel to receive information and share something interesting. In this paper, we present a comparison experimental results on the similarity measurements on Thai social media text. We use the nearest neighbor classifier with the 10 distance functions to classify there data into 4 classes, which the classes were defined by the expert in retail business. The experiments were performed on two feature extractions with the well-known term weightings and compared the classification results with the experts. According to the experimental results, we found the feature extraction and the distance that can be employed with Thai social media text classification.
机译:社交媒体被广泛用作一般目的的沟通渠道,包括与零售业务相关的评论。它是与客户直接互动的高效沟通工具。用户的增长率正在迅速提高,因为他们使用此渠道来接收信息并分享一些有趣的东西。在本文中,我们提出了对泰国社交媒体文本的相似性度量进行比较的实验结果。我们使用具有10个距离函数的最近邻分类器将那里的数据分类为4类,这些类由零售业务专家定义。实验是使用众所周知的术语权重对两个特征进行提取的,并将分类结果与专家进行了比较。根据实验结果,我们发现可以用于泰国社交媒体文本分类的特征提取和距离。

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