International Journal of All Research Education & Scientific Methods

An ISO Certified Peer-Reviewed Journal

ISSN: 2455-6211

Latest News

Visitor Counter
10529585163

Scalable Sentiment Analysis of Amazon Custome...

You Are Here :
> > > >
Scalable Sentiment Analysis of Amazon Custome...

Scalable Sentiment Analysis of Amazon Customer Reviews

Author Name : S Ramaiah, T Lakshmi, D Sriharshavardhan, M Roopa Sarika

ABSTRACT

This study examines the effectiveness of ensemble learning methods, specifically bagging and boosting, for sentiment analysis of Amazon product evaluations. Businesses have to evaluate the sentiment of online reviews in order to understand their customers’ needs and develop their products. Sentiment analysis remains a challenging task due to the prevalence of casual language, slang, and subtle expressions such as sarcasm in user-generated content.