山东大学学报 (工学版) ›› 2019, Vol. 49 ›› Issue (1): 47-54.doi: 10.6040/j.issn.1672-3961.0.2017.485
Chunlin QIAN1,2(),Xingfang ZHANG3,*(),Lihua SUN2
摘要:
针对在线中文评论中用户主观意见的不确定性,提出一种基于不确定理论的情感分析模型,并结合情感分析模型设计了个性化推荐算法。采用分词工具ICTCLAS和IKAnalyzer预处理在线中文评论,并基于情感词典(HowNet)计算特征词的点互信息值;应用不确定变量与不确定集设计情感分析模型;根据情感分析模型设计新的最近邻居搜索方法并产生推荐。在两个真实数据集上进行试验,试验结果表明,该方法能够有效改进推荐结果的准确率,缓解数据稀疏问题。
中图分类号:
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