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, (4), 135–138. https://doi.org/10.31713/MCIT.2020.27

Issue

No. 4 (2020): Modeling, control and information technologies

Section

Information technologies, robotics and artificial intelligence

License

All materials are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to distribute the work with attribution to the authorship of this work and the first publication in this journal.