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Volume-XVI (Issue 4) - DECEMBER 2023


 

Temporal Analysis of Social Media Trends: A Computational Perspective

 

DOI Link: https://doi.org/10.62233/ijrrr2

 

Dr. Barkha Saxena

Najir Alam

Akash Kumawat

Sandeep Verma

Neeraj Mudgal

 

Keywords: Social Media Trends, Temporal Analysis, Topic Modelling, Machine Learning, Data Privacy, Digital Era

 

Abstract: The ubiquitous nature of social media systems has redefined the panorama of conversation, with customers producing great amounts of statistics in actual-time. This evaluate paper delves into the temporal evaluation of social media developments from a computational angle, providing a complete exploration of methodologies, challenges, and improvements. By scrutinizing temporal trend detection algorithms, sentiment evaluation through the years, the impact of activities on social media discourse, and the evolving position of system getting to know, this paper ambitions to illuminate the elaborate dynamics of temporal trends on social media systems. Through case studies and discussions on challenges and ethical concerns, the assessment underscores the transformative potential of computational approaches in information the temporal evolution of social media trends. The exploration concludes with the aid of outlining destiny instructions, emphasizing the interdisciplinary nature of this subject and the continuing necessity for studies to navigate the complexities of social media temporal dynamics in the digital age.

 

 

International Journal of Recent Research and Review
 

  

 

ISSN: 2277-8322

Vol. XVI, Issue 4
December 2023

 

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PUBLISHED
December 2023
 

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Vol. XVI, Issue 4

 

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