[ad_1] Introduction Social media has become an integral part of communication in our society, with millions of users sharing their thoughts, opinions, and experiences online every day. During emergency situations such as natural disasters or…
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[ad_1] Introduction: In recent years, online education has become increasingly popular, with more and more students opting to take courses remotely. With the vast array of online courses available, selecting the most suitable course can…
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[ad_1] Introduction: In the era of digitalization, customer reviews have become a valuable source of information for businesses looking to expand their product categories. Sentiment analysis, also known as opinion mining, is a powerful tool…
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[ad_1] Introduction Image segmentation plays a crucial role in autonomous security systems by accurately identifying and classifying objects within surveillance data. With the advancement of deep learning techniques, such as convolutional neural networks (CNNs), the…
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[ad_1] Introduction Demand forecasting plays a crucial role in event planning as it helps organizers in predicting attendance, planning resources, and maximizing revenue. Traditionally, event planners rely on historical data, intuition, and subjective judgment to…
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[ad_1] Introduction: Fake reviews have become a significant issue in the online food delivery industry, with many consumers relying on these reviews to make informed decisions about where to order food from. With the rise…
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[ad_1] Introduction Traffic congestion is a significant issue that affects freight transportation, leading to delays, increased costs, and inefficiencies in logistics operations. In recent years, the use of deep learning techniques and logistics data has…
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[ad_1] Introduction: Subscription-based software companies rely on customer retention and maximizing customer lifetime value (CLV) for sustainable growth and profitability. Predicting customer lifetime value is crucial for these companies to make informed decisions on customer…
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[ad_1] Thesis: Sentiment analysis of customer feedback for service recovery prioritization using text mining and natural language processing Introduction 1.1 Introduction 1.2 Background of the study 1.3 Problem Statement 1.4 Objective of the study 1.5…
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[ad_1] **Introduction** The real estate industry is constantly evolving, with new technologies and methodologies being developed to improve customer acquisition and retention. Predictive modeling, using property data and machine learning algorithms, has emerged as a…
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