APPLICATION OF DEEP LEARNING MODELS FOR ASPECT BASED SENTIMENT ANALYSIS.
Abstract and keywords
Abstract (English):
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.

Keywords:
machine learning, aspect based sentiment analysis, neural networks, deep learning.
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References

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