Cross-Domain Consumer Review Analysis
- URL: http://arxiv.org/abs/2212.13916v1
- Date: Fri, 23 Dec 2022 18:16:09 GMT
- Title: Cross-Domain Consumer Review Analysis
- Authors: Aditya Pandey, Kunal Joshi
- Abstract summary: The paper presents a cross-domain review analysis on four popular review datasets: Amazon, Yelp, Steam, IMDb.
The analysis is performed using Hadoop and Spark, which allows for efficient and scalable processing of large datasets.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The paper presents a cross-domain review analysis on four popular review
datasets: Amazon, Yelp, Steam, IMDb. The analysis is performed using Hadoop and
Spark, which allows for efficient and scalable processing of large datasets. By
examining close to 12 million reviews from these four online forums, we hope to
uncover interesting trends in sales and customer sentiment over the years. Our
analysis will include a study of the number of reviews and their distribution
over time, as well as an examination of the relationship between various review
attributes such as upvotes, creation time, rating, and sentiment. By comparing
the reviews across different domains, we hope to gain insight into the factors
that drive customer satisfaction and engagement in different product
categories.
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