Analysis of cross domain sentiment techniques

Sentiment analysis is the analysis of opinions on certain entities. Due to the wide applications sentiment analysis has been widely researched. But due to the usage of sentiment analysis in wide number of domains there are multifaceted issues and problems which has kept the researchers on their toes. One such problem is usage of training data of one domain for classification and also lack of annotated data for training of the classifier so that it can perform prediction accurately. This is where cross domain sentiment analysis comes in. The paper performs a brief survey and analysis of cross domain sentiment analysis approaches and algorithms.