Systems and methods for constructing a classification model using data associated with a facility

Abstract

Various embodiments described herein relate to systems and methods for constructing a classification model using data associated with a facility. In this regard, unlabeled data associated with the facility is retrieved. Based on an application of a first algorithm on the unlabeled data, parameters in the unlabeled data are determined. Using the parameters, machine learning algorithms identify topics and clusters in the unlabeled data. Also, a prioritized list of keywords is generated for each of the topics. Then, the prioritized list of keywords is input to a language learning model. The language learning model outputs a keyword from the list of keywords. If the keyword meets a predefined threshold, a cluster of the clusters is labeled using the keyword. Using first set of labeled clusters, the classification model is trained. The trained classification model provides recommendations related to the facility which are also renderable on a user interface as well.