A survey on applications of opinion mining class imbalance data

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.