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Regular version of the site

Book chapter

Development of a Model to Predict Intention Using Deep Learning

P. 69-78.
Karpov N., Demidovskij A., Malafeev A.

This paper presents a method to analyze discussions from social network by using deep learning. We have prepared a new dataset by collecting discussions from a social network and annotating remarks of the discussion. The annotation consists of two types of labels for each message: intention type and direction of intention. Using this dataset and pre-trained word embeddings we have evaluated two neural network structures. On the basis of evaluation, we chose a model to automatically predict intention types and direction of intention of an arbitrary message from any social network