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Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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A Study on AI–Driven Social Media Monitoring with Special Reference to Coimbatore City

Authors: Mrs. Swathi M; Ms. Anushka N;

A Study on AI–Driven Social Media Monitoring with Special Reference to Coimbatore City

Abstract

This study examines the role of Artificial Intelligence (AI) in enhancing social media monitoring, with a focus on businesses in Coimbatore district. AI technologies such as sentiment analysis, machine learning algorithms, and automated data analytics help organizations track online mentions, understand consumer behavior, and manage brand reputation effectively. The research investigates how businesses are adopting AI-driven social media monitoring tools, the benefits they achieve in marketing and customer engagement, and the challenges faced during implementation. The findings highlight the importance of AI in modern social media management and provide strategies for effective adoption. Results indicate that AI-driven monitoring significantly improves decision-making, enhances brand perception, and strengthens competitive advantage.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green