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Rushit Dave

As seen in: arXiv, MDPI, ACM - Association for Computing Machinery, Scientific Research Publishing (SCIRP)
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Articles

Enhancing Smart Farming Through Federated Learning: A Secure, Scalable, and Efficient Approach for AI-Driven Agriculture

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By Rushit Dave
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Comparative Research in Sentiment Analysis Using Machine Learning Technique

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By Eun Soo Park, Rushit Dave, Mansi Bhavsar
| Scientific Research Publishing (SCIRP)
1. Introduction In this digital age, as people increasingly rely on the Internet to share their thoughts and opinions, sentiment analysis has become a crucial aspect of Natural Language Processing (NLP). Social media platforms like Twitter, Instagram, Reddit, and Facebook serve not only as communication channels but also as valuable sources for understanding public sentiment [1].
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Machine Learning for Identifying Harmful Online Behavior A Cyberbullying Overview

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By Rushit Dave, Rikin Shrestha
| Scientific Research Publishing (SCIRP)
1. Introduction Internet use, particularly digital/social media and video games, is growing daily. Everyone is becoming dependent on them from all ages and with many positive aspects, there are drawbacks as well, one of which is cyberbullying. Cyberbullying has effects on victims mentally, emotionally, and physically. It includes low self-esteem, acting violently, despair, increased stress/anxiety, depression, self-harming/suicide, etc.
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