微博
社会化媒体
情绪分析
计算机科学
支持向量机
人工智能
构造(python库)
自然语言处理
随意的
同义词词典
情报检索
万维网
材料科学
复合材料
程序设计语言
作者
Jia Jun Cheng,Xin Zhang,Peng Yi Fan,Pei Li,Hui Wang
出处
期刊:Advanced Materials Research
日期:2013-09-01
卷期号:765-767: 1441-1445
被引量:3
标识
DOI:10.4028/www.scientific.net/amr.765-767.1441
摘要
Chinese microblogging texts are always short and casual, which bring some troubles to the traditional sentiment classification methods based on learning. To overcome this problem, we use a rule-based approach to classify the sentiment of Chinese microblogging texts. According to the characteristics of Chinese microblogging texts, we construct a thesaurus of subjective words for it, summarize the basic semantic rules expressing emotion and propose a rule-based approach to sentiment classification of Chinese microblogging texts. Finally, we compare our approach with a SVM-based approach. Our rule-based approach achieves an accuracy of 0.865, which is better than that of SVM-based approach.
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