
Israt Jahan
Articles
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Nov 21, 2024 |
medium.com | Israt Jahan
Israt Jahan·Follow4 min read·--Data centers have become the heart of our digital world, housing the infrastructure that powers everything from social media to healthcare applications. As someone deeply involved in technology and research, I’ve spent considerable time reflecting on the significance of these facilities. Their design, functionality, and evolution not only fascinate me but also highlight their critical role in supporting a data-driven society.
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Nov 21, 2024 |
medium.com | Israt Jahan
Israt Jahan·Follow6 min read·--The journey to better chronic disease management has been long and challenging, but I believe we are standing on the edge of a healthcare revolution. The integration of wearable technology into personalized healthcare has transformed how we monitor, manage, and even prevent chronic illnesses.
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Nov 20, 2024 |
medium.com | Israt Jahan
Israt Jahan·Follow5 min read·--Social media platforms have become central to the way people communicate, share opinions, and express emotions. Among these platforms, Twitter and Facebook stand out as two of the most widely used, each offering distinct styles of interaction and content sharing. Sentiment classification — the process of determining the emotional tone of text — has become an essential tool for analyzing user-generated content on these platforms.
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Nov 14, 2024 |
medium.com | Israt Jahan
Israt Jahan·Follow6 min read·--Sentiment analysis in social media has become a critical tool for understanding public opinion, consumer behavior, and social trends. Different algorithms, from traditional machine learning techniques like Support Vector Machines (SVM) and Naive Bayes to advanced deep learning models like Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs), have been employed to tackle this task.
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Nov 13, 2024 |
medium.com | Israt Jahan
Israt Jahan·Follow5 min read·--Social media has transformed how people express opinions and emotions on various topics, from daily events to global issues. Sentiment classification aims to analyze and determine the emotional tone behind these online texts. However, social media data presents unique challenges for sentiment analysis compared to other text types, making it difficult to classify accurately.
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