Community Relationship Management (CoRM) in government organizations is an important aspect of developing sustainable strategies and increasing public satisfaction in cities. This study focuses on the potential applications and benefits of text analytics techniques to government entities within the context of CoRM. The application of data analytics, specifically text analytics, can enable the derivation of various types of insights, such as identifying topics and themes in community requests as term collections. Furthermore, an unsupervised learning method such as Multidimensional Scaling (MDS) can be used along with topic modeling to identify outlier terms and clusters of terms. The CoRM approach is illustrated using a case study application conducted at a government entity.