面向微博的消费意图识别.pdfVIP

摘 要 语言自由度和不规则度很高，这都给传统的文本分类方法提出了新的挑战，所 以本文针对微博文本的语言特征和特有特性进行文本的预处理，然后进行分类， 得到消费意图识别的结果。同时本文又对分类的特征选取和训练集和测试集选 取不同的个数并分别进行了测试对比。从而得到了合理的特征维数和分类模型。 关键词：微博消费意图；消费意图挖掘；消费意图分类；模板抽取；僵尸识别 II Abstract Abstract With the rapid development of Internet software and hardware, there have brought great changes to peoples life. The Internet has already access thousands of households. Everyone will have a personal computer or PDA and everyone will carry a mobile phone to have access to the Internet by the telecom company. At the rapid development of Internet stage ,one of the main point is social . Various social network sites developed rapidly and occupied a large number of users. People use social network to share his life and express their views, in which also contains a lot of person’s consumption intent information. Therefore, micro-blog as a kind of social media and social network application contains enormous commercial value. In this paper, we conducted a series of consumption intent studies on micro-blog. We attempt two methods, template extracton and classification to research consumption intent and we also form engineering implementation method. This paper identifies micro-blog consumption intent through the following methods. Sina micro-blog data acquisition and filtering zombie users based on classification, automatic extract template to discriminate consumption intent. The following briefly introduces main research contents of each of point. (1) Sina micro-blog provides API to obtain the data,we also uses the simulated login webpage to crawl the Sina micro-blog data. But because of sina’s limitation, such