Review Analysis of Twitter Sentimental Data

被引:0
|
作者
Kasthuri, S. [1 ]
Jebaseeli, A. Nisha [1 ]
机构
[1] Bharathidasan Univ, Dept Comp Sci, Govt Arts & Sci Coll, Trichy, Tamil Nadu, India
来源
关键词
TWITTER DATA; DATA MINING; DATASETS; CLASSIFICATIONS; SENTIMENTAL ANALYSIS; MACHINE LEARNING;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In present world, every people have full of emotion and sentimental feeling. People can communicate with other people all over the world with many short message in twitter is called tweets. Every social media or networking are generating infinite of data in every second. The infinite number of novel innovations are coming to the industry to develop new ways of communications between consumer and start-up business opportunity. Sentimental analysis (SA) is the best recent research in world. These is the greatest needs of every companies and business peoples. These are several section where people can advertise their product, company can analyses about their product, consumer may helped by their decision making to purchase a product. In this review study, we analysis with some recent existing techniques in SA of Twitter data.
引用
收藏
页码:209 / 214
页数:6
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