Master Assignment
Classification-based approach for question Answering Systems: design and application in HR operations
Type: Master M-BIT
Location: University of Twente
Period: Mar, 2018 - Oct, 2019
Student: Heijden, L.M.A. van der (Levi, Student M-BIT)
Date Final project: October 30, 2019
Supervisors:
Abstract:
In this thesis, a Proof of Concept for an automated Question Answering (QA) System to answer HR-related questions is developed and evaluated. This is done by classifying employee questions into question categories for which standard responses can be sent to employees. Several Classification methods are evaluated, under which Support Vector Machine, RandomForest, XGBoost and a Bi-LSTM Neural Net. Moreover, several methods for text cleaning, label discovery and text transformation are used and evaluated to operationalize the unlabeled client dataset. A desirable micro average precision of 89% and recall of 81% is achieved with the final Proof of Concept. Moreover, a self-learning Cloud-based Solution was designed within the client context in which the Proof of Concept can be deployed. Overall, this study provides evidence for the potential impact of Artificial Intelligence on HR in terms of operational and strategic value, as well as guidance into what is required to achieve this value.