A neural network algorithm for extracting pharmacological information from russian-language internet reviews on drugs

Abstract

Abstract The paper presents a neural network algorithm for analyzing online user reviews of drugs. The algorithm was validated on specially prepared and annotated corpora. The basis of the algorithm is a neural network model combining convolution and recurrent layers, context-dependent vector representations of words, conditional random fields and additional features of words obtained from different dictionaries. The proposed model showed accuracies comparable to the state-of-the-art results for this task on the corpora for other languages.