Open AccessSome Features of Sentiment Analysis for Russian Language Posts and Comments from Social Networks
Author(s) -
N. A. Sidorov,
Sergey Slastnikov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1740/1/012036
Subject(s) - sentiment analysis , computer science , task (project management) , domain (mathematical analysis) , artificial intelligence , natural language processing , quality (philosophy) , software , artificial neural network , programming language , engineering , mathematics , mathematical analysis , philosophy , epistemology , systems engineering
Sentiment analysis of different language texts is one of the very popular machine learning tasks. The complexity of its solution depends both on the characteristics of a particular language, and on the length of the evaluated texts. In our work, we consider the task of creating a sentiment analysis software tool for Russian posts and comments from the most popular social networks without any domain restriction. The features of constructing both the algorithmic and the software parts of the problem are described, some quality and performance metrics of the suggested neural network system are presented.