Trendlytics

Social Media Analytics (SMA) is the practice of collecting, analyzing, and interpreting data from social media platforms to gain insights into user behavior, trends, and sentiment. As social media has become an integral part of daily life, the vast amount of data generated provides valuable information for businesses, marketers, and researchers. SMA encompasses various techniques, including text mining, sentiment analysis, trend detection, and user engagement metrics, to extract actionable intelligence. The primary goals of SMA are to understand audience preferences, track brand performance, enhance customer engagement, and predict emerging trends. With the help of machine learning, natural language processing, and data visualization tools, SMA transforms unstructured social media data into strategic business insights, helping organizations optimize their digital strategies, improve customer experiences, and make data-driven decisions. This paper explores the significance of social media analytics, the methodologies involved, and the impact of SMA on modern marketing and business strategies

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-04-14
DOI
https://doi.org/10.48175/ijarsct-25229
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Trendlytics

Prof. Rashmi Mahajan, Abhijit S. Patil, Chinmay Deshmukh, Omkar Sarvankar
International Journal of Advanced Research in Science Communication and Technology
Advanced Text Analysis Techniques
article

Trendlytics

Prof. Rashmi Mahajan, Abhijit S. Patil, Chinmay Deshmukh, Omkar Sarvankar
article en

Abstract

Social Media Analytics (SMA) is the practice of collecting, analyzing, and interpreting data from social media platforms to gain insights into user behavior, trends, and sentiment. As social media has become an integral part of daily life, the vast amount of data generated provides valuable information for businesses, marketers, and researchers. SMA encompasses various techniques, including text mining, sentiment analysis, trend detection, and user engagement metrics, to extract actionable intelligence. The primary goals of SMA are to understand audience preferences, track brand performance, enhance customer engagement, and predict emerging trends. With the help of machine learning, natural language processing, and data visualization tools, SMA transforms unstructured social media data into strategic business insights, helping organizations optimize their digital strategies, improve customer experiences, and make data-driven decisions. This paper explores the significance of social media analytics, the methodologies involved, and the impact of SMA on modern marketing and business strategies

International Journal of Advanced Research in Science Communication and Technology
Shivaji University (IN)
Openalex Percentile: Top 97%
Advanced Text Analysis Techniques
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Trendlytics — Prof. Rashmi Mahajan, Abhijit S. Patil, et al. · International Journal of Advanced Research in Science Communication and Technology (2025) | TGRS Research Map | TGRS