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Technology has become an integral part of modern-day education, transforming the way it is delivered. Gone are the days when textbooks and lectures were the only means of learning. The use of technology in education has made it more accessible, interactive, and engaging. Online learning is one way technology has revolutionized education, making it possible…
With the growth of social media and other online platforms, the amount of available textual data has increased exponentially. Accurately identifying emotions from this textual data can be crucial in various fields such as marketing, customer service, healthcare, and education. Emotion detection can help improve products and services, enhance customer satisfaction, and monitor mental health,…
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Text classification is a vital part of sentiment analysis, which involves the analysis of text for opinions, emotions, and attitudes towards a particular topic or product. The process of building sentiment classifiers requires a careful approach to ensure accurate results. In this article, we explore the various steps involved in developing sentiment classifiers, including data…
Identifying outliers and unusual patterns is crucial in various industries and scenarios, ranging from financial fraud detection to system monitoring. Anomaly detection is the process of finding these unusual and significant events in the data that deviate from the normal distribution. Anomalies can be anything out of the ordinary, such as unusual behavior in customer…
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Urbanization is an accelerating trend that has significantly impacted city living. With increasing population density, resource management challenges such as traffic congestion, energy consumption, and waste disposal are prevalent in cities worldwide. Addressing these issues is critical to ensure a better quality of life for urban residents. This is where AI and smart cities come…
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Cross-lingual natural language processing (NLP) is a rapidly growing field of study that is focused on developing computational models and techniques to process and analyze multilingual texts. The techniques involved in cross-lingual NLP are aimed at overcoming the language barriers that exist in multilingual communication. The primary objective is to be able to gain a…
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Text classification involves dividing text data into different classes or categories based on their content and context. Machine learning and natural language processing techniques are used to develop and train text classification models. These models are essential in various applications, including social media monitoring, email services, e-commerce websites, media outlets, and translation software. Text classification…
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Pollution has become a major concern for environmental health, affecting not just our planet but also human health. The negative effects of pollution on human health are significant and could lead to respiratory problems, cardiovascular disease, and cancer. Polluted air, water, and soil are the major contributors to the adverse effects. Air pollution is one…
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Technology has revolutionized the education sector in impressive ways. It has transformed the way learning is delivered and has opened numerous opportunities for both educators and learners. However, the use of technology in education is not without its challenges. This article highlights the impact of technology on education, including the benefits and drawbacks. When it…
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Artificial Intelligence (AI) has transformed the landscape of education worldwide. From personalized learning experiences to efficient administrative operations, AI has revolutionized the way we learn and teach. The use of machine learning technology in education helps create a more personalized learning experience for students, tailoring course material to individual student strengths and needs. One of…
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