Analyzing the Customer Opinion in Products Using Machine Learning Techniques

Author(s)	Ms. Anshika ., Mr. Akash ., Ms. Ankita Baniwal, Prof. Ravindra Chauhan
Country	India
Abstract	In a world considered by the digital revolution, product reviews are what make or break your product. this research focus on categorizing the emotions in Alexa reviews for instance negative, positive and neutral. Product review sentiment analysis helps companies learn about their consumers yet existing techniques struggle to process the detailed texts filled with technical words and negative and positive feelings that appear in Amazon Alexa. Through the machine learning approaches such as XG- boost (extreme gradient Boosting) Random Forest and Decision Tree Classifiers. This paper explores how product’s reviews are being analysed with help of ML driven algorithms and techniques which helps to business gain, valuable insights and improve decision- making.
Keywords	sentiments, XG -BOOST, Random Forest, machine learning
Field	Computer > Data / Information
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-10
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.44084
Short DOI	https://doi.org/g9kfh6

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International Journal For Multidisciplinary Research