计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 469-471.doi: 10.11896/j.issn.1002-137X.2016.11A.105
崔为娜
CUI Wei-na
摘要： 微博作为社交媒体的后起之秀,已经得到快速的发展。微博快速的发展在带给人们便利的同时,也使人们置身于信息的海洋。针对微博中日益呈现出的信息过载问题,微博分类已经成为一个重要的研究课题。针对微博分类,提出一种基于特征加权语言模型的微博分类新方法。 在新浪微博上抽取的真实标注数据集上进行的对比实验结果表明,所提方法是一个有效的微博分类方法。
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