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dc.contributor.advisorKapoor, Anuj
dc.contributor.authorVerma, Shyamal
dc.contributor.authorJakhar, Ankit Kumar
dc.date.accessioned2023-04-02T06:39:01Z
dc.date.available2023-04-02T06:39:01Z
dc.date.issued2021-09-07
dc.identifier.urihttp://hdl.handle.net/11718/26246
dc.description.abstractThe rise of the internet based economy and social media usage has helped a brand or content producer to get direct feedback from the user in the form of comments, likes or dislikes about the functionality or the experience provided by the same product or service. The data generated through these platforms has high Volume & variety, but with the help of machine learning algorithms which can generate non-linear relationships, these qualitative insights can be used to gain useful quantitative insights. We carry out sensitivity analysis on the comments or reviews posted by customers of PlayStation4 and analyse the change in behaviour and attitude of purchaser over the course of lifecycle of PS4. We identified that during the growth stage the consumers are more centric towards product features and specifications and during the maturity stage they become more experienced centric. We also find that repeat upgrades and intervention in terms of new game launces can prolong the lifecycle of PS4 and in turn result an increase in total sales.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectInternet based economyen_US
dc.subjectSocial media usageen_US
dc.subjectSocial mediaen_US
dc.subjectAI/ML methodsen_US
dc.titleUse of AI/ML methods on qualitative data to derive quantitative insightsen_US
dc.typeStudent Projecten_US


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