@article{Sopronyuk_2020, title={Analysis of Correspondence Reviews Texts and Stars Ratings}, url={https://itconfdoc.nuwm.edu.ua/index.php/ITConf/article/view/110}, DOI={10.31713/MCIT.2020.27}, abstractNote={<p class="TTPAbstract">The article analyses the connection between the clients’ reviews of the texts and their published  ratings. To realize the task the language R and the packages such as jsonlite, tm, SnowballC, wordcloud, RColorBrewer, ggplot2 and others have been chosen. We used the data of the service Yelp, opened for academic goals and analysis [6]. For the analysis we used sentiment analysis. Sentiment analysis is the computational treatment of opinions, sentiments and subjectivity of text.</p>}, number={4}, journal={Modeling, Control and Information Technologies: Proceedings of International scientific and practical conference}, author={Sopronyuk, Tetyana}, year={2020}, month={Oct.}, pages={135–138} }