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@article{170050,
author = {Sujal Karmarkar and Piyush Dandekar and Yash Thakre and Sachin Dhaws},
title = {Social Media Analytics Dashbord},
journal = {International Journal of Innovative Research in Technology},
year = {2024},
volume = {11},
number = {6},
pages = {3044-3049},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=170050},
abstract = {The increasing prevalence of social media platforms has generated vast amounts of data that are rich in insights but difficult to analyze due to their scale and complexity. This paper proposes the development of an integrated Social Media Analysis Dashboard (SMAD) aimed at facilitating the efficient extraction, processing, and visualization of key social media metrics for research purposes. The dashboard combines advanced data analytics techniques, such as sentiment analysis, trend detection, and network analysis, to provide a comprehensive overview of social media activity. It aggregates data from multiple platforms, including Twitter, Facebook, and Instagram, and offers intuitive visualizations, enabling researchers to track user engagement, monitor real-time trends, and perform sentiment evaluations across various topics. By presenting a user-friendly interface and customizable analytical tools, the SMAD empowers researchers to make data-driven decisions, identify emerging patterns, and explore the social dynamics of online communities. This tool supports interdisciplinary research in fields such as marketing, sociology, political science, and public health, providing a valuable resource for understanding the evolving landscape of digital communication.},
keywords = {},
month = {November},
}
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