terpiljenya / RuSentiEval2016

RuSentiEval 2016 materials

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Sentiment Analysis for Russian Texts

Sentiment Analysis for Dialogue Evaluation 2016 Using Syntax Tree and Convolution Neural Net

Full paper can be found at the conference proceedings: http://www.dialog-21.ru/media/3478/dialogue2016.pdf

Conference presentation can be found at slideshare: http://www.slideshare.net/karpovilia/entity-based-sentiment-analysis-using-syntax-patterns-and-convolutional-neural-network

Citing example: Karpov, I. A., Kozhevnikov, M. V., Kazorin, V. I., Nemov, N. R. (2016), Entity Based Sentiment Analysis Using Syntax Patterns and Convolutional Neural Network, Proceedings of the International Conference “Dialog 2016”, Moscow

To quick start use jupyter notebooks in notebooks/

pretrained models and processed data can be downloaded from: https://dl.dropboxusercontent.com/u/68766459/RuSentiEval2016/data_and_models.rar

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RuSentiEval 2016 materials

License:GNU General Public License v3.0


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Language:Jupyter Notebook 75.5%Language:Python 24.5%