Sentiment Analysis for Amazon Reviews to Identify Customer Interests.
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Sri Lanka Technology Campus
Abstract
In the twenty-first century, consumers now
frequently buy online and use reviews to judge the quality
of the products they purchase. These reviews are also
examined by businesses to enhance their offerings. In
order to glean business insights from massive datasets,
this study uses sentiment analysis on Amazon product
reviews. To determine the specific subjects upon which
the entire collection of reviews is predicated, an LDA
model is created for the Amazon review dataset. Word
frequencies for each topic are visualised by us. After
determining which machine learning model is most
appropriate for sentiment analysis, the analysis is carried
out on a topic-by-topic basis. Using logistic regression,
the themes derived from the LDA model are categorised
as either positive or negative product review subjects.
Analysis is done on both the positive and negative
subjects.
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Citation
Sentiment Analysis for Amazon Reviews to Identify Customer Interests. K. Aloka Abeysirigunawardana Department of Computer Systems Engineering University of Kelaniya aloka.abeysiri@outlook.comDr. Rasika Rajapaksha (Supervisor) Department of Computer Systems Engineering University of Kelaniya rasikar@kln.ac.lk