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Leveraging Sentiment Analysis and Trend Forecasting for Real-Time Employer Reputation Management on Digital Platforms

Author(s) Preetham Reddy Kaukuntla
Country United States
Abstract The employer reputation of an organization is being constructed through such media forums and feedbacks on social networking sites as well as Glassdoor or LinkedIn. These platforms provide the employees and the public or job candidates to express their sentiments and encounters affecting an organization greatly on its brand reputation and staff acquisition and maintenance. This paper submits the idea of combination of sentiment analysis and trend forecast for real-time employer reputation management. By using sentiment analysis, the emotion recognition of the feedback given and the trend prediction of the employer brand sentiments, organizations for tackling the employer brand challenges proactively. It restricts its scope to using predictive algorithms, NLP, and structured data mining to track the pulse of the population, determine concerns, and predict business-critical trends that lead to erosion of employer credibility. This approach allows for HR professionals to receive substantive data that the organization can use to address different issues concerning employee engagement and protect the reputation of the employer.
Keywords Social Media Analytics, Emotional Intelligence, Business Intelligence, Gender Intelligence.
Published In Volume 4, Issue 5, May 2023
Published On 2023-05-03
Cite This Leveraging Sentiment Analysis and Trend Forecasting for Real-Time Employer Reputation Management on Digital Platforms - Preetham Reddy Kaukuntla - IJLRP Volume 4, Issue 5, May 2023. DOI 10.5281/zenodo.14769948
DOI https://doi.org/10.5281/zenodo.14769948
Short DOI https://doi.org/g83kwr

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