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基于文本分类的果农短信分类

SMS Classification of Fruit Farmer based on Text Mining
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摘要 将手机短信平台中的短信转化为文本的特性,把文本分类算法运用到短信处理技术之中,通过对短信文本进行预处理、特征选择及分类器等步骤,将果农短信文本按不同果业信息类别进行分类,根据分类结果,有针对性地向果农提供有效的果业信息服务。 By converting the SMS in the mobile phone SMS platform to text, the text classification algorithm was applied in the message processing technology. Through preprocessing, selecting feature and classifying SMS text, SMS text messages of fruit farmers were classified with different categories. Based on the results of classification, the effective information services for fruit industry were provided.
出处 《湖北农业科学》 北大核心 2014年第23期5864-5867,共4页 Hubei Agricultural Sciences
基金 山东省自主创新专项资助项目"农业信息化综合服务平台应用示范"(2012CX90204) 教育部人文社科项目"我国农户对农村信息服务技术采纳研究"(11YJAZH098) 中央高校基本科研业务费专项资金资助项目"林产品供应链管理研究"(JGTD2013-01) "林产品供应链优化管理研究"(JGTD2014-01)
关键词 文本挖掘 短信分类 果农 text mining SMS classification fruit farmer
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