Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Sentiment Analysis for Online Shopping Reviews Using Machine Learning Subject The topic of the resource Accuracy; Amazon reviews; BART; BERT; GPT; Machine learning; Online shopping; Sentiment analysis Description An account of the resource Everyday shoppers need reliable and insightful reviews of e-commerce websites to enhance their shopping experience. This research study explores sentiment analysis on Amazon reviews. It utilizes them as a diverse repository of customer opinions by unlocking their embedded sentiments, thereby recognizing their pivotal role in guiding potential buyers. Sentiment misinterpretations may result from many machine learning models that have trouble comprehending the context of Amazon reviews, particularly regarding subtle wordings, sarcasm, or irony. Additionally, these models can have biases that skew sentiment analysis results, mainly when working with a diverse set of Amazon review datasets. To overcome these, three machine learning models, namely, Bidirectional Encoder Representations from Transformers (BERT), Bidirectional and Auto-Regressive Transformers (BART), and Generative Pre-trained Transformers (GPT) are used in this study. During the experimental research, it was observed that BERT gave the highest accuracy of 90% when compared with BART (70%) and GPT (84%) models. BERTs bidirectional contextual comprehension at identifying subtleties in language provides a thorough and realistic representation of the sentiments of Amazon users, which is why the model gave the highest accuracy. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Dedeepya M.; Kokatnoor S.A.; Kumar S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-856 LNNS, pp. 453-465. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7571-2_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7571-2_35</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214401324&amp;doi=10.1007%2F978-981-97-7571-2_35&amp;partnerID=40&amp;md5=a93ee08171696f3883a83cfe862138da" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214401324&amp;doi=10.1007%2f978-981-97-7571-2_35&amp;partnerID=40&amp;md5=a93ee08171696f3883a83cfe862138da</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981977548-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dedeepya M., CHRIST University, Bengaluru, India; Kokatnoor S.A., CHRIST University, Bengaluru, India; Kumar S., CHRIST University, Bengaluru, India