Application of deep learning models for aspect based sentiment analysis. | Zendy

Дмитрий Будыльский | Zendy; Dmitriy Budylskiy | Zendy; Александр Подвесовский | Zendy; Aleksandr Podvesovskiy | Zendy

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Application of deep learning models for aspect based sentiment analysis.

Author(s) -

Дмитрий Будыльский,

Dmitriy Budylskiy,

Александр Подвесовский,

Aleksandr Podvesovskiy

Publication year - 2015

Publication title -

bulletin of bryansk state technical university

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.

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