A survey on applications of opinion mining class imbalance data

被引：0
|
作者：
Babu, P. Ratna [1 ]
Battula, Bhanu Prakash [2 ]
机构：
[1] Sri Chundi Ranganayakulu Engn Coll, Ganapavaram, AP, India
[2] Tirumala Engn Coll, Narasaraopet, AP, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017) | 2017年
关键词：
Classification; Imbalanced data; opinion mining;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Opinion mining or sentiment analysis is to analyzethe useful information from the large quantity of text messages or reviews regarding a product or a topic. Inbinary product reviews (positive or negative) the distribution of classes will always tend to any one class, thereby generating a class imbalancenature in the dataset. A class imbalance state of the dataset is in which, instances in one class predominately outnumber the instancesin other class. The existing opinion mining approaches are not efficient on the class imbalance opinions mining datasets. In this paper, we present the up to date survey of class imbalance opinion mining datasets.
引用
收藏
页码：550 / 552
页数：3
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