Abstract:
In this age of internet technology, e-commerce and online marketing companies in
Bangladesh were already doing well. As a result of the widespread quarantines caused by
the COVID-19 pandemic, online shopping has surpassed all other methods as the
preferred method of making purchases. As a result, Businesses were able to get online
much more quickly. While an increase in online product service providers does many
good things, it also brings up questions about the reliability and quality of these offerings.
Consequently, new customers are easy prey for internet scammers. Our goal is to develop
an AI system that can automatically analyze customer reviews of e-commerce products
and provide a set of positive and negative comments made by previous customers in the
Bangla language using Natural Language Processing (NLP) and Artificial Intelligence
algorithms. From different e-commerce websites, we collected 1016 Bangla product
review comments for analysis. After completing preprocessing, we used two different
domains of AI called Machine Learning(ML) and Deep Learning(DL) algorithms. There
are five ML algorithms like KNN, Random Forest, Logistic Regression, SVM, and
Gaussian Naïve Bayes used and for deep learning we used CNN and LSTM.
