Open AccessApplication of deep learning models for aspect based sentiment analysis.
Author(s) -
Дмитрий Будыльский,
Dmitriy Budylskiy,
Александр Подвесовский,
Aleksandr Podvesovskiy
Publication year - 2015
Publication title -
vestnik brânskogo gosudarstvennogo tehničeskogo universiteta
Language(s) - English
Resource type - Journals
ISSN - 1999-8775
DOI - 10.12737/22917
Subject(s) - computer science , artificial intelligence , deep learning , convolutional neural network , sentiment analysis , artificial neural network , natural language processing , machine learning
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.