Python Machine Learning Project - Analyses of Fake Product Review - ClickMyProject
Nowadays product (including service, e.g. hotel, restaurant.) reviews play an important role for consumers' online shopping activities. Customers will pay more attention to the products with positive reviews and avoid the negative ones.
Product reviews is performed on the data extracted from Amazon reviews. Sentiment analysis of reviews extract and aggregate fake and real opinions from product reviews.
We discuss various data mining techniques for fake review detection based on different features. The amazon product review dataset is taken from dataset repository.
In our process, we have to analyse or to classify the product review into fake reviews and real reviews by using the machine learning algorithms such as adaboost.
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