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Title	Mining Real Estate Data: A Systematic Review Of Text-Based Approaches
ID_Doc	37094
Authors	Węgrzyn J.
Year	2025
Published	Real Estate Management and Valuation
DOI	http://dx.doi.org/10.2478/remav-2026-0001
Abstract	The rise of Big Data has transformed information processing, with text mining techniques gaining prominence across various disciplines, including real estate market analysis. The research aim is to provide a comprehensive overview of this field, highlighting emerging trends and potential areas for future research. To explore the application of text mining approaches, the study presents a systematic literature review (SLR) combining performance analysis, science mapping techniques and topic modeling. The analysis reveals a noticeable increase in research activity post-2015. Key application areas of text mining techniques include housing and real estate markets, urban planning and social media, smart cities and public spaces, online reviews and consumer feedback, and sustainable development. Additionally, the research identifies challenges related to data quality, standardization, and computational efficiency. The study concludes by identifying future research directions and potential applications for real estate practice. © 2025 The Author(s)
Author Keywords	real estate; science mapping; systematic literature review; text mining; topic modelling

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