摘要
根据已有在线声誉系统特点,将用户的情感强度划分若干级别。考虑到情感强度的模糊性,为每个情感强度设置隶属度函数。在此基础上,提出一种基于情感词模糊统计的网络评论情感强度计算方法,并选取手机评论进行实验分析。实验结果显示:情感词的隶属度具有集中性和稳定性;否定词不但改变情感词的极性,还弱化情感词的情感强度;程度副词强化情感词的情感强度,但被修饰情感词的情感强度越大,程度副词对该词的强化程度越小。
According to the characteristics of existing online reputation system, we divide the sentiment intensity into several levels. Considering the fuzziness of sentiment intensity, we set up membership functions for each sentiment intensity level. We then develop a method based on fuzzy-statistics of sentiment words to obtain sentiment intensity of online reviews. Fuzzy-statistic experiment is designed to acquire the membership of sentiment words in online reviews on mobile phones. The experimental results show that the membership value of the sentiment words are stable and centralized; negative words not only change the polarity of sentiment words but also weaken sentiment intensity of the words; degree adverbs strength the sentiment intensity of sentiment words, hut the degree of strengthening decreases with the Increasing Intensity.
出处
《系统管理学报》
CSSCI
2014年第3期324-330,共7页
Journal of Systems & Management
基金
国家自然科学基金资助项目(70971099)
中央高校基本科研业务费专项资金资助项目(1200219198)
上海市科技发展基金软科学研究博士生学位论文资助项目(12692193000)
关键词
模糊统计
情感词
情感强度
fuzzy-statistics
sentiment words
sentiment intensity
