Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/22032
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dc.contributor.advisorPrakhya, Srinivas
dc.contributor.authorBhandari, Anshul
dc.contributor.authorLuthra, Bhanavi
dc.date.accessioned2023-07-02T15:20:05Z-
dc.date.available2023-07-02T15:20:05Z-
dc.date.issued2022
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/22032-
dc.description.abstractReviews and ratings are an essential part of the decision-making process for many consumers, and businesses in various industries are aware of this fact. In this study, we will explore the different industries in which reviews and ratings are important, how they impact the industry, and why consumers rely on them. We will study the few common dictionaries available in Natural Language Processing (NLP) including the ones that can be used in analysing the brands' reviews. We wil l also discuss the analytical methods, both general and N LP-based, that can be used by the businesses to analyse these customer reviews. This analysis can provide valuable insights to the businesses that can help in improving them in long run.
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesPGP_CCS_P22_176
dc.subjectCustomer experience
dc.subjectCustomer reviews
dc.subjectProduct sales
dc.subjectCustomer perception
dc.titleImpact of customer reviews and ratings on product sales and customer perception
dc.typeCCS Project Report-PGP
dc.pages17p.
Appears in Collections:2022
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