[ad_1] Introduction In recent years, the spread of fake news on social media platforms has become a pressing issue that has raised concerns about the credibility of information shared online. Fake news can have serious…
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[ad_1] Title: Predicting Customer Lifetime Value for Subscription-Based Businesses Using Transactional Data and Machine Learning 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…
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[ad_1] Thesis Overview: Title: Sentiment analysis of employee reviews using text mining and natural language processing Introduction: The rapid growth of online job platforms has made it easier for employees to share their opinions and…
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[ad_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 1.9 Definition of…
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[ad_1] Introduction Waste management has become a significant concern globally, with the increasing amount of waste being generated daily. Recycling plays a crucial role in mitigating environmental pollution and conserving natural resources. However, the efficiency…
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[ad_1] Thesis Overview Title: Sentiment Analysis of Customer Support Interactions using Text Mining and Deep Learning Introduction: In today’s digital age, customer support interactions play a crucial role in determining the success of businesses. Understanding…
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[ad_1] Introduction Healthcare providers face significant challenges due to patient no-shows, which can lead to inefficiencies in scheduling, decreased access to care, and increased costs. Predicting patient no-shows using appointment data and machine learning techniques…
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[ad_1] Introduction In today’s competitive market, understanding customer feedback is crucial for the success of any product or service. Sentiment analysis, a branch of natural language processing, has emerged as a powerful tool to analyze…
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[ad_1] Introduction: Social network analysis (SNA) is a powerful methodology that allows researchers to analyze the relationships between individuals or organizations within a network. By examining the communication and collaboration patterns within an organization, researchers…
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[ad_1] Introduction In recent years, the use of graph analysis has become increasingly popular in various fields including social sciences, computer science, biology, and finance. Graphs provide a powerful tool for representing and analyzing complex…
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