[ad_1] Introduction Natural Language Processing (NLP) has become an increasingly important field in the development of chatbots, which are intelligent conversational agents that are designed to simulate human-like interactions. Chatbots are being utilized in various…
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[ad_1] Introduction: Sentiment Analysis of Social Media Data aims to analyze the emotions and opinions expressed in social media content. This thesis will explore the challenges and opportunities of conducting sentiment analysis on such a…
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[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 Anomalies in manufacturing processes can have severe consequences, leading to defective products, loss of revenue, and potential safety hazards. Therefore, it is crucial to detect anomalies in real-time to ensure quality control and…
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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 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** 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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[ad_1] Introduction In recent years, there has been a growing interest in utilizing deep learning and computer vision techniques for various applications, including autonomous package delivery. Image classification is a crucial component of autonomous systems,…
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[ad_1] Introduction Anomaly detection plays a critical role in ensuring the security of computer networks by identifying unusual patterns that may indicate malicious activities or system malfunctions. With the increasing complexity and sophistication of cyber…
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