Factor analysis of ad liking and prediction of purchase intent through emotionomics
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Marketing strategy is being a new challenge in this modern era. Along with the global market, people's choices are also changing so to grab the focus of buyers, organizations are making changes in their marketing policy based on user's choice to increase the possibility of their product being sold. Advertisements are the way to promote products and they are available on every media platform nowadays. The focus was always to gather public attention through different messages but which factors of advertising were needed more was not fixed. To recognize the dependencies of a successful advertisement and identify the factors which create good impression in people mind we lead this study. Using supervised machine learning algorithms and feature extraction method we find out the factors of ad liking and predict the purchase intent through emotionomics which makes an ad successful.