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6 articles for “Email Dataset”
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Streamlining Data Quality: A Conceptual Model and Excel-based Tool for Email Duplicate Removal
Abstract: In the realm of data management, ensuring data quality is paramount for meaningful analysis and decision making. This research paper presents a novel conceptual model and practical tool designed to address the challenge of removing duplicate entries from datasets containing email IDs. The proposed mathematical model for duplicate removal is meticulously developed and subsequently implemented in Microsoft Excel, leveraging Visual Basic for Applications. The Excel interface is enhanced with user-friendly …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 41–59 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Email Spam Classifications Based on Support Vector Machine and Recurrent Neural Network
Abstract: In recent times, e-mail has become one of the fastest and the utmost economical process of communication. Spam emails have dramatically increased over the past few years as a result of the growth in email subscribers. In this growing world, most of the transactions, business, study materials are taking place through emails. But due to the social networks and advertising, some of the emails contain undesirable information known as spam. …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 14–18 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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Face Mask Detection Alert System
Abstract: The COVID-19 coronavirus epidemic is widely spreading around the world, which is why wearing face masks in public is becoming more popular. Since the WHO has made wearing masks mandatory to prevent this deadly virus, wearing face masks regularly is an essential measure until the virus is completely eradicated. Several preventive measures are being considered to decrease the spread of disease and one of them is wearing masks in crowded …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 2, 2022 · pp. 25–31 Read article
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Adaptive Huffman Algorithm for Data Compression Using Text Clustering and Multiple Character Modification
Abstract: Adaptive Huffman algorithm is a popular data compression technique that creates a variable-length binary code for each symbol in a message. However, the original algorithm may not be efficient in compressing text data, particularly when dealing with long sequences of repeated characters. In this study, we propose a novel approach to enhance the compression ratio of the Adaptive Huffman algorithm by utilizing text clustering and multiple character modification. The proposed …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 30–40 Read article