基于区间直觉模糊的情感分类模型

随着电子商务，个人博客，社交网站和微博的蓬勃发展，互联网进入了一个崭新的时代，而在线评论的情感分类关系到个人决策、企业管理甚至社会安全．提出了一种基于区间直觉模糊的情感分类模型，采用了区间直觉模糊算子来计算特征词的区间直觉模糊数，利用区间直觉模糊集的隶属度、非隶属度和犹豫度分别定量地描述特征词，通过情感合成确定文本的情感倾向，从而获得准确率较高的情感倾向性分析结果．最后通过相同语料库的比较实验证明该分类模型的可行性、正确性和较高的分类性能．

Sentiment Classification Model Based on Interval-Valued Intuitionistic Fuzzy Sets Model

With the development of e-commerce, blog, social networking sites and micro-blog become much more flourishing. The Internet has entered a new era, and the sentiment classification of online comments related to individual decisions, business management and also social security. A model of sentiment classification based on interval-valued intuitionistic fuzzy sets and the interval-valued intuitionistic fuzzy operator was proposed to calculate the interval-valued intuitionistic fuzzy numbers of feature words. Meanwhile, by using membership, non-membership and hesitation to quantitatively describe the feature words. It can get the sentiment tendency through the sentiment synthesis, in order to take more accurate analysis results of sentiment tredency. Finally, throughing the comparative experiment based on same corpus, it proves that this model has high feasibility, correctness and classification performance.