Sentimental Analysis on Web Mining using Statistical Measures

被引：0
|
作者：
Sanjay, K. S. [1 ]
Danti, Ajit [2 ]
机构：
[1] Bangalore Social & Educ Inst Management Studies, Dept Comp Applicat, Bangalore, Karnataka, India
[2] JNN Coll Engn, Dept MCA, Shimoga, Karnataka, India
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI) | 2017年
关键词：
Opinion mining; Machine learning; Statistical measures;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Opinion mining or sentimental analysis plays important role in the data mining process. In the proposed method, opinions are classified using various statistical measures to provide ratings to help the sentimental analysis of big data. Experimental results demonstrate the efficiency of the proposed method to help in analysis of quality of product, marketers evaluation of success of a new product launched, determine which versions of a product or service are popular and identify demographics like or dislike of product features, etc.
引用
收藏
页码：767 / 771
页数：5
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