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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.