Analysis of Correspondence Reviews Texts and Stars Ratings

Authors

DOI:

https://doi.org/10.31713/MCIT.2020.27

Keywords:

Sentiment analysis, Emotion detection, Yelp, corpus, textual review, positive words, negative words, clouds of the words

Abstract

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.

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Published

2020-10-23

How to Cite

Sopronyuk, T. (2020). Analysis of Correspondence Reviews Texts and Stars Ratings. Modeling, Control and Information Technologies: Proceedings of International Scientific and Practical Conference, (4), 135–138. https://doi.org/10.31713/MCIT.2020.27

Issue

No. 4 (2020): Modeling, control and information technologies: Proceedings of IV International scientific and practical conference

Section

Information technologies, robotics and artificial intelligence