Journal of Frontiers in Multidisciplinary Research  |  ISSN: 3050-9726  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

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     2026:7/1

Journal of Frontiers in Multidisciplinary Research

ISSN: 3050-9718 (Print) | 3050-9726 (Online) | Impact Factor: 8.10 | Open Access

Cross-Platform Sentiment Analytics for Unified Customer Feedback in Digital Business Environments

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Abstract

This paper explores cross-platform sentiment analytics to unify customer feedback in digital business environments, enabling organizations to gain actionable insights from diverse data sources such as social media, reviews, and surveys. A systematic literature review synthesizes insights on sentiment analysis techniques, cross-platform data integration, and their applications in customer experience management. A proposed framework integrates these elements into a cohesive system for real-time feedback analysis. Application scenarios in retail, hospitality, and financial services illustrate the framework’s potential, suggesting up to 30% improvement in customer satisfaction and 25% increase in retention rates. The study contributes to the literature on digital business intelligence and offers practical guidelines for leveraging sentiment analytics to enhance customer-centric strategies.

How to Cite This Article

Samuel Augustine Umezurike, Oluwatolani Vivian Akinrinoye, Omolola Temitope Kufile, Abiodun Yusuf Onifade, Bisayo Oluwatosin Otokiti, Onyinye Gift Ejike (2025). Cross-Platform Sentiment Analytics for Unified Customer Feedback in Digital Business Environments . Journal of Frontiers in Multidisciplinary Research (JFMR), 6(2), 41-47 . DOI: https://doi.org/10.54660/.JFMR.2025.6.2.41-47

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