An AI-Driven Framework and Platform for analysing Tenant Feedback for the Housing Sector In collaboration with North Star Housing Group

Published: 17 October 2025| Version 1 | DOI: 10.17632/fyz5kddd45.1
Contributor:
Mohammed Munazir

Description

The Regulatory Social Housing (RSH) requires landlords of 1,000 or more residential units to collect their tenants' annual Tenant Satisfaction Measures (TSM). This requirement has led to a massive buildup of both qualitative and quantitative structured data within the housing organizations. Traditional quantitative indicators, such as satisfaction scores, often fail to reveal the underlying emotions and complex experiences of tenants. Based on this drawback, the initiative aims to design a modular, automated system for processing, visualization, and analysis of data from tenants.

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Institutions

Newcastle University

Categories

Computer Science, Artificial Intelligence, Natural Language Processing

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