A convolutional neural network based sentiment classification and the convolutional kernel representation

Abstract

This paper presents a multiple layer based convolutional neural network for sentiment analysis. Word embedding is present to learn the features and representations. This paper also presents a convolutional kernel representation for textual data. In order to evaluate the performance, this paper uses short-text corpus to evaluate. Experimental results show the feasibility of the approach.