Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
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Brac University
2021
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| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/14468 |
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10361-14468 |
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10361-144682022-01-26T10:21:46Z Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning Arafat, Sheikh Mohammad Islam, Rifatul Rafi, Ishraque Arefin Islam, Md. Rashedul Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Effectiveness of Marketing Emotional States Deep Learning Supervised Machine Learning LSTM-RNN MFCC This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 77-79). In this modern age, marketing strategy is becoming a new challenge. Not only the global market but also people’s choices are shifting to catch the attention of buyers. Also, based on consumer’s choice organizations are bringing changes in their marketing policy to increase the chances of their product selling rate. Basically, to promote their products and grab buyer’s attention they are promoting advertisements on every media platform. But they are not aware of the effectiveness of marketing and which emotional states are needed more and which are not needed much. Therefore, we lead this study to recognize a successful advertisement and identify the rate of the emotional states which make good impact in people mind to purchase the product. Using deep learning and supervised machine learning algorithms as well as feature extraction methods for instance, LSTM-RNN, SVM, XGBOOST, Na¨ıve Bayes, Multiple Linear Regression, MFCC, Zero-Crossing Rate, Power Spectral Density, we find out and evaluate the rate of the emotional states to figure out the liking and purchase intent which makes an advertisement successful. Sheikh Mohammad Arafat Rifatul Islam Ishraque Arefin Rafi Md. Rashedul Islam B. Computer Science 2021-06-02T09:42:04Z 2021-06-02T09:42:04Z 2020 2020-04 Thesis ID: 16301147 ID: 16301186 ID: 16201002 ID: 17301213 http://hdl.handle.net/10361/14468 en_US Brac 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. 80 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
Effectiveness of Marketing Emotional States Deep Learning Supervised Machine Learning LSTM-RNN MFCC |
| spellingShingle |
Effectiveness of Marketing Emotional States Deep Learning Supervised Machine Learning LSTM-RNN MFCC Arafat, Sheikh Mohammad Islam, Rifatul Rafi, Ishraque Arefin Islam, Md. Rashedul Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. |
| author2 |
Alam, Md. Golam Rabiul |
| author_facet |
Alam, Md. Golam Rabiul Arafat, Sheikh Mohammad Islam, Rifatul Rafi, Ishraque Arefin Islam, Md. Rashedul |
| format |
Thesis |
| author |
Arafat, Sheikh Mohammad Islam, Rifatul Rafi, Ishraque Arefin Islam, Md. Rashedul |
| author_sort |
Arafat, Sheikh Mohammad |
| title |
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning |
| title_short |
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning |
| title_full |
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning |
| title_fullStr |
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning |
| title_full_unstemmed |
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning |
| title_sort |
predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/14468 |
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