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dc.contributor.authorKUMAR, KRISHAN-
dc.date.accessioned2023-07-11T09:14:36Z-
dc.date.available2023-07-11T09:14:36Z-
dc.date.issued2023-06-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/20086-
dc.description.abstractIn this report we will discuss "Sentiment Analysis on Amazon Product Dataset Using Machine Learning Algorithms." Due to the substantial influence that opinions have on people's behaviors and decision-making processes, sentiment analysis has extensive applications across many economic and social areas. When looking for information or making decisions, people and organizations frequently rely on the opinions of others. The sentiment analysis of a dataset made up of Amazon reviews and ratings is the main topic of this research. To improve the analysis, various pre-processing strategies and vectorization approaches will be used. Machine learning algorithms will be used for classification, and the outcomes of each approach will be compared. Deep Learning techniques will also be used to further assess and compare the results of the sentiment analysis.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-6638;-
dc.subjectSENTIMENT ANALYSISen_US
dc.subjectAMAZONen_US
dc.subjectMACHINE LEARNING ALGORITHMen_US
dc.subjectDEEP LEARNINGen_US
dc.titleA REPORT ON SENTIMENT ANALYSIS ON AMAZON PRODUCT DATASET USING MACHINE LEARNING ALGORITHMSen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Information Technology

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