Predicting best match sportsperson for product advertisement

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dc.contributor.authorGopale, Apeksha
dc.contributor.authorShah, Sahil Shakir Hussain [14CO45]
dc.contributor.authorSyed, Areeb Iqbal Ahmad [13CO61]
dc.contributor.authorGavandi, Abhay Audumbar [14CO22]
dc.contributor.authorSarguroh, Junaid Jawed [14CO43]
dc.date.accessioned2019-08-01T10:18:10Z
dc.date.available2019-08-01T10:18:10Z
dc.date.issued2019-05
dc.description.abstractSports are one of the popular forms of entertainment in today’s world. People do like to express their views on social sites regarding sports, players etc. As we all know that people do watch television, advertisements and show interest in the products endorsed by their favourite sports person. The proposed system is considering the performance or ranking of a sports person and their popularity on social site to decide on the best suitable candidate for particular product endorsement in order to increase the sale of the product. Keywords: Sentimental analysis, Machine Learning, Product Advertisement, Sports, Naive bayes, Prediction.en_US
dc.identifier.urihttp://www.aiktcdspace.org:8080/jspui/handle/123456789/3202
dc.language.isoenen_US
dc.publisherAIKTCen_US
dc.relation.ispartofseriesPe0580;
dc.subjectProject Report - COen_US
dc.titlePredicting best match sportsperson for product advertisementen_US
dc.typeProject Reporten_US
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