CLASSIFICATION OF TEXTS USING CONVOLUTIONAL NEURAL NETWORKS
The article investigates the convolutional neural networks for the classification of short texts as subtasks for the chat-bot development. The constructed classifier performance has been compared with the support vector machine and recurrent neural networks. The implemented classifier has showed better results than other methods and can be recommended for using in chat-bot.