Product Review Sentiment Analysis

Author(s)	Pebbeti Charitha Reddy, Pallala Indrani, Polidasu Janaki, Padala Gayathri, Padubandla Chandrahasini, G Apparao, Rajeshwari
Country	India
Abstract	—Product Review Sentiment Analysis is a fundamental aspect of contemporary business strategies, utilizing Machine Learning (ML) techniques to glean insights from vast textual datasets. This research centers on the identification of sentiments conveyed in product reviews, typically categorized as positive, negative, or neutral. Employing ML algorithms, including supervised learning classifiers and unsupervised sentiment lexicons, facilitates the automated interpretation of customer feedback on a large scale.
Keywords	Product Review Sentiment Analysis, Machine Learning, sentiment classification, customer feedback, decision-making processes, customer satisfaction
Field	Engineering
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-06
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.20551
Short DOI	https://doi.org/gtxrsj

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International Journal For Multidisciplinary Research