Krutika Monde,
Altaf Khan,
Om Ugale,
Omkar Tonde,
Shilpali Bansu,
- Student, Department of Computer Engineering, A. C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
- Student, Department of Computer Engineering, A. C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
- Student, Department of Computer Engineering A. C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
- Student, Department of Computer Engineering A. C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
- HoD and Assistant Professor, Department of Artificial Intelligence & Data Science, A. C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
Abstract
Social media has become an essential aspect of everyday life across different age groups, serving functions ranging from sharing personal updates to staying informed about social developments. Our objective is to harness big data to extract meaningful insights from the immense and ever-expanding volume of data generated on social media platforms. We will collect and analyze data from various social media sources, including text, images, and user interactions, using cutting-edge big data technologies. By employing advanced analytics like semantic word analysis and topic modeling, we aim to uncover valuable trends, user sentiments, and key influences, offering practical applications for businesses, governments, and researchers. Moreover, ethical considerations and privacy safeguards will be integral to our approach to ensure responsible data usage. By combining the extensive reach of social media with the scalability of big data analytics, this project aims to deliver a comprehensive understanding of the social media landscape, offering a wealth of actionable insights. Whether it’s shaping marketing strategies, tracking public sentiment, or enhancing academic research, the results of this project will empower stakeholders to make well-informed decisions in an era where social media is a crucial aspect of our digital lives.
Keywords: Social Media Analysis, Big data, sentiment analysis
[This article belongs to Journal of Advanced Database Management & Systems(joadms)]
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Journal of Advanced Database Management & Systems
| Volume | 11 |
| Issue | 03 |
| Received | July 1, 2024 |
| Accepted | August 12, 2024 |
| Published | September 11, 2024 |
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