Fraud detection in E-commerce using natural language processing
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
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Brac University
2023
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| Acesso em linha: | http://hdl.handle.net/10361/20016 |
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10361-200162023-08-28T06:42:52Z Fraud detection in E-commerce using natural language processing Kabir, Iftekhar Momo, Marium Khan Tazrian, Tahsin Sadeque, Dr. Farig Yousuf Department of Computer Science and Engineering, Brac University Fake review Machine learning Support Vector Machine (SVM) Logistic regression Detection BiDirectional long short term memory Fraud. Fraud investigation. Fraud--Prevention. Auditing, Internal--Data processing. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 31-33). Electronic commerce sometimes referred to as e-commerce is a type of business that enables both businesses and private individuals to purchase and sell products and services online. E-commerce in Bangladesh is thriving from the last decade, especially during the coronavirus pandemic with the growth of online sales. Digital commerce is currently struggling to regain trust after allegations of annexation and fraud surfaced against a few firms in recent months. Over 11.48% clients of the internet business area were beguiled last year from di↵erent web based business and Facebook trade (business) sites. Fake reviews are one of the most prominent fraudulent activities in this field. When we try to buy anything online or book any hotel from an app or a ride from any ride sharing app we heavily rely on the reviews of past customers.It makes the decision making process easier. This is why, with the ongoing development of e-commerce platforms online reviews are seen as essential to upholding a company’s reputation. Generally a positive feedback from a customer gathers the attraction of many searching for the same product. For this reason, many e-commerce sites are generating fake reviews to attract more customers towards them. Detecting fake reviews is an ongoing research area. As all the reviews are not trustworthy and honest, it is crucial for us to develop techniques for detecting fake reviews. We are proposing a machine learning approach to generate and detect fake reviews.We used Natural Language Processing(NLP) to extract meaningful features from a text for detecting fraud reviews. Therefore, in this study, we present a comprehensive and e↵ective framework that enhances the e Iftekhar Kabir Marium Khan Momo Tahsin Tazrian B. Computer Science 2023-08-27T10:32:44Z 2023-08-27T10:32:44Z 2023 2023-01 Thesis ID: 18201106 ID: 18301069 ID: 19101520 http://hdl.handle.net/10361/20016 en 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. 33 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Fake review Machine learning Support Vector Machine (SVM) Logistic regression Detection BiDirectional long short term memory Fraud. Fraud investigation. Fraud--Prevention. Auditing, Internal--Data processing. |
| spellingShingle |
Fake review Machine learning Support Vector Machine (SVM) Logistic regression Detection BiDirectional long short term memory Fraud. Fraud investigation. Fraud--Prevention. Auditing, Internal--Data processing. Kabir, Iftekhar Momo, Marium Khan Tazrian, Tahsin Fraud detection in E-commerce using natural language processing |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Sadeque, Dr. Farig Yousuf |
| author_facet |
Sadeque, Dr. Farig Yousuf Kabir, Iftekhar Momo, Marium Khan Tazrian, Tahsin |
| format |
Thesis |
| author |
Kabir, Iftekhar Momo, Marium Khan Tazrian, Tahsin |
| author_sort |
Kabir, Iftekhar |
| title |
Fraud detection in E-commerce using natural language processing |
| title_short |
Fraud detection in E-commerce using natural language processing |
| title_full |
Fraud detection in E-commerce using natural language processing |
| title_fullStr |
Fraud detection in E-commerce using natural language processing |
| title_full_unstemmed |
Fraud detection in E-commerce using natural language processing |
| title_sort |
fraud detection in e-commerce using natural language processing |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/20016 |
| work_keys_str_mv |
AT kabiriftekhar frauddetectioninecommerceusingnaturallanguageprocessing AT momomariumkhan frauddetectioninecommerceusingnaturallanguageprocessing AT tazriantahsin frauddetectioninecommerceusingnaturallanguageprocessing |
| _version_ |
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