Application of deep learning models for aspect based sentiment analysis.
Будыльский Дмитрий Викторович, Dmitriy Budylskiy, Александр Подвесовский, Aleksandr Podvesovskiy · Bulletin of Bryansk state technical university · 2015
This paper describes actual problem of sentiment based aspect analysis and four deep learning models: convolutional neural network, recurrent neural network, GRU and LSTM networks. We evaluated these models on Russian text dataset from SentiRuEval-2015. Results show good efficiency and high potential for further natural language processing applications.