[ad_1] Introduction: In the era of online commerce and social media, user-generated reviews have become a crucial part of decision-making for consumers. However, the presence of fake reviews has become a significant issue, as they…
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[ad_1] Introduction In recent years, the development of chatbots for customer support using natural language processing has gained significant attention in both academia and industry. Chatbots are AI-driven programs that interact with users through text…
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[ad_1] Introduction: The rise of social media platforms has revolutionized the way in which people engage with politics, with Twitter being a popular platform for political discourse. As a result, there is a vast amount…
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[ad_1] Introduction Fraud in insurance claims is a significant issue that impacts both insurance companies and policyholders. Detecting fraudulent claims is a complex and challenging task due to the diverse nature of fraudulent activities. Machine…
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[ad_1] Introduction Chapter 1: Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis…
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[ad_1] Introduction Customer churn prediction is a crucial task for businesses, especially in the banking industry where customer retention is vital for long-term profitability and sustainability. With the advent of big data and advanced machine…
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[ad_1] Introduction In today’s digital age, network security has become a critical concern for organizations worldwide. With the increasing complexity and sophistication of cyber threats, it has become crucial to detect anomalies in network traffic…
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[ad_1] Introduction Social network analysis has become an increasingly popular tool for marketers to understand consumer behavior and improve the effectiveness of marketing campaigns. By analyzing the relationships between individuals within a social network, marketers…
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[ad_1] Introduction In recent years, predictive modeling has become an integral part of financial institutions’ decision-making processes, especially in the area of loan default prediction. Predictive modeling is used to analyze historical data and make…
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[ad_1] Introduction Traffic congestion is a prevalent issue in urban areas around the world, leading to wasted time, increased pollution, and decreased quality of life for residents. Predicting traffic flow accurately can help transportation agencies…
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