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In our project, we conducted sentiment analysis on Amazon Shopping app reviews for various books to determine the top pick for readers. Leveraging R language and libraries such as tm, Wordcloud, and Syuzhet, we processed and analyzed the collected data, generating insightful visualizations in Tableau.
Nikk19hub/Sentiment-Analysis-of-Book-Reviews
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➡️In this project, we have used Amazon Shopping app and performed sentiment analysis on different book reviews to find best book to purchase.
➡️We first collected books review data.
➡️Then we wrote code in R language, where we implemented three different libraries:-
1) tm - text mining.
2) Wordcloud.
3) Syuzhet.
➡️By using these libraries we sorted and cleaned all the data. We formed a word cloud for maximum appearing words.
➡️Then we created a sentiment score based on the words with strong emotions and words with weak emotions.
➡️Finally came to a conclusion using tableau visualization which represented which book is the most preferred one among the three to read.
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In our project, we conducted sentiment analysis on Amazon Shopping app reviews for various books to determine the top pick for readers. Leveraging R language and libraries such as tm, Wordcloud, and Syuzhet, we processed and analyzed the collected data, generating insightful visualizations in Tableau.
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