Alam, Md.Golam RabiulToma, Syeda Tanzina FarhinBhuiyan, Shahan JamilDawood, TahmidSaha, Chandan Kumar2020-12-202020-12-2020192019-12ID 16101003ID 16101091ID 16101105ID 13101147http://hdl.handle.net/10361/14091Cataloged from PDF version of thesis.Includes bibliographical references (pages 93-95).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.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.95 pagesenBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Factor analysisAdvertisementsEEGEmotionomicsThesis