Benchmarking operational performance of buildings by text mining tenant surveys

Facility managers of large commercial and institutional buildings periodically collect text-based survey data from their tenants. While these large and amorphous datasets contain valuable information to benchmark operational performance and identify anomalies, it is time and resource-intensive to hire employees to read and analyze the datasets and extract insightful information from them. This paper presents a natural language processing-based …