[ad_1] Introduction In recent years, with the explosion of social media platforms and the enormous amount of data generated daily, sentiment analysis has become increasingly important in various fields such as marketing, customer service, and…
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[ad_1] Introduction Recommender Systems have become an essential part of our daily lives, aiding us in discovering new products, services, and content that align with our preferences and interests. In recent years, there has been…
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[ad_1] Introduction In recent years, social media has become a powerful tool for political campaigns to reach and engage with voters. With the rise of platforms such as Twitter, Facebook, and Instagram, politicians and their…
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[ad_1] Introduction As businesses and organizations continue to generate vast amounts of digital documents, the need for efficient document management systems has become increasingly important. Text classification, a subfield of natural language processing, has emerged…
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[ad_1] Introduction: In today’s digital age, brand monitoring has become increasingly important for companies to understand how their brand is perceived by consumers. Sentiment analysis, a subfield of natural language processing, has emerged as a…
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[ad_1] Introduction: The rapid growth of e-commerce and online transactions has led to an increased risk of fraud. Fraudulent activities in online transactions can result in significant financial losses for businesses and consumers. Real-time fraud…
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[ad_1] Introduction The Internet of Things (IoT) has revolutionized the way we interact with our surroundings, allowing for seamless communication between devices and systems. With the proliferation of IoT devices, there has been an exponential…
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[ad_1] Introduction Customer segmentation is a crucial technique in marketing that involves dividing customers into groups based on common characteristics and behaviors. By understanding the unique needs and preferences of different customer segments, businesses can…
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[ad_1] Introduction Time series forecasting is a crucial aspect of energy consumption prediction, allowing energy providers and policymakers to make informed decisions regarding resource allocation and energy efficiency measures. With the increasing demand for energy…
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[ad_1] Introduction The use of machine learning in predicting stock market trends has gained significant interest in recent years due to the increasing complexity and volatility of financial markets. Machine learning algorithms have the potential…
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