Publications

Abstract : Text classification is defined as categorizing document into one of the category in which the text belongs to. Neural Networks are used for classification. Collection of documents is trained and tested using neural networks. In this paper we build a text classification model using Convolution Neural Network and Recurrent Neural Network. We train and test both CNN and RNN model with our dataset. The dataset we used is collection of essays.From the train and test accuracy obtained we reach a conclusion that RNN performs better than CNN for our essay dataset. © Academic Press. All rights reserved.