Fraud detection in E-commerce using natural language processing

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.

Bibliografiske detaljer
Main Authors:	Kabir, Iftekhar, Momo, Marium Khan, Tazrian, Tahsin
Andre forfattere:	Sadeque, Dr. Farig Yousuf
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	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.
Online adgang:	http://hdl.handle.net/10361/20016

Lignende værker

Credit card fraud detection using machine learning techniques
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Udgivet: (2021)

Fraud prevention awareness and how it can create a competitive edge for bKash Limited in the mobile finance service industry
af: Kabir, Shadman Sakibul
Udgivet: (2022)

Effectiveness of revenue assurance and fraud management process in Banglalink Digital Communications Ltd
af: Shila, Mithila Ali
Udgivet: (2020)

Fake profile detection in social media using image processing and machine learning
af: Sen, Shuva, et al.
Udgivet: (2021)

Fraud risk management of bKash Limited
af: Shahrin, Shemonti
Udgivet: (2018)

Existing infrastructure & adaptability of new technology regarding risk and fraud management in the online delivery platforms: A study on foodpanda Bangladesh
Udgivet: (2024)

Analysis of customer perception regarding the effectiveness of fraud and dispute management of bKash Limited.
af: Rafi, Kazi Shahriar Al
Udgivet: (2021)

Detecting online recruitment fraud by using machine learning
af: Ghosh, Gitanjali, et al.
Udgivet: (2021)

Forensic and investigative accounting /
af: Crumbley, D. Larry
Udgivet: (2003)

Multimodal fake news detection using text and image
af: Biswas, Trisha, et al.
Udgivet: (2024)

Impact of fraud and dispute management on risk mitigation and reputation establishment as a part of compliance for a mobile financial company: an analysis of bKash
af: Saarmean, Rubaiat
Udgivet: (2021)

The influence of neuromarketing: machine learning based empirical analysis
af: Muktadir, MD. Abdullah Al, et al.
Udgivet: (2024)

Conversion of Bengali speech to text using long short-term memory(LSTM)
af: Chowdhury, Mohammad Fahim, et al.
Udgivet: (2021)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
af: Amiz, Asef Hassan, et al.
Udgivet: (2021)

Supervising vehicle using pattern recognition
af: Lushan, Mihodi Hasan, et al.
Udgivet: (2018)

A machine learning approach to detect depression and anxiety using supervised learning
af: Ullas, Md Tahmidur Rahman, et al.
Udgivet: (2019)

Performance analysis of stacking neural network and machine learning model for detecting fraudulent transaction
af: Chowdhury, Ahnaf Shahriyar, et al.
Udgivet: (2021)

Amazon product reviews sentiment analysis using supervised learning algorithms
af: Hawladar, Mohibullah, et al.
Udgivet: (2021)

A study on Ami Probashi, a project of the Bangla Trac group, to curb manpower fraud in foreign employment: digitalization in Bangladesh's labor migration process with more satisfaction
af: Das, Shubhojit
Udgivet: (2023)

Exploring attacks in the NFT gaming industry: A study of risks and mitigation strategies
af: Mohima, Zarin Rahman, et al.
Udgivet: (2023)

An introduction to support vector machines : and other kernel-based learning methods /
af: Cristianini, Nello
Udgivet: (2000)

Detection of mind wandering using EEG signals
af: Tasika, Nadia Jebin, et al.
Udgivet: (2020)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
af: Sarker, Md Wafi, et al.
Udgivet: (2023)

A machine learning approach to predict movie box-office success
af: Quader, Nahid, et al.
Udgivet: (2018)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
af: Biswas, Sunanda, et al.
Udgivet: (2022)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
af: Ahmed, Sajjad
Udgivet: (2019)

An android application to predict human activity using a deep learning LSTM model
af: Sikder, Debabrata
Udgivet: (2024)

The impact of artificial intelligence on the financial sector
af: Siddiqui, Ria
Udgivet: (2024)

Travel time prediction using machine learning and weather impact on traffic conditions
af: Deb, Bilash, et al.
Udgivet: (2018)

Prediction of earthquakes: a step towards predicting the unpredictable
af: Chowdhury, Maheen, et al.
Udgivet: (2023)

An integrated approach: fake review detection using convBERT-BiLSTM classification
af: Mahmud, Md. Anas, et al.
Udgivet: (2024)

Economic crisis prediction due to pandemic outbreak using machine learning
af: Ahmed, Tanvir, et al.
Udgivet: (2021)

A thesis on utilizing machine learning models to predict material hardship
af: Das, Tirtha
Udgivet: (2024)

Cardiovascular disease prediction model using Machine Learning Algorithm
af: Arefin Mirdha, MD Shamsul
Udgivet: (2023)

Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
af: Haque, Tashfia, et al.
Udgivet: (2024)

Share market forecasting with LSTM neural network and sentimental trend prediction
af: Rony, Ismail Hossain, et al.
Udgivet: (2020)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
af: Mahmud, Booshra Nazifa, et al.
Udgivet: (2019)

FakeDetect: Bangla fake news detection model based on different machine learning classifiers
af: Sraboni, Tasnuba, et al.
Udgivet: (2021)

A new approach to select adaptive Intrinsic Mode Functions (IMFs) of Empirical Mode Decomposition (EMD)
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Udgivet: (2016)

Cyberbullying detection using sentiment analysis in social media
af: Sintaha, Mifta, et al.
Udgivet: (2016)