Predicting best match sportsperson for product advertisement
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Date
2019-05
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Publisher
AIKTC
Abstract
Sports 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.
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Project Report - CO