Behavioral Mapping, Using NLP to Predict Individual Behavior : Focusing on Towards/Away Behavior

“What candidates or team members will do in specific circumstances” has always been an important piece of information for most employees or team leaders to consider when making a decision. Different companies take a significant amount of time to determine who is the best candidate for a particular job position. Companies are looking for the most efficient method for making this decision. Most of the time, personality assessments are used to identify an individual’s character traits. Regardless of personality type, individuals will behave differently in a positive atmosphere than in a stressful one. Hence, characteristics alone can not predict behavior. Thus, text analysis and the identification of candidate behaviors (behaviorism) now enable companies to understand how people think, feel, and act in a given situation and then choose from a vast pool of candidates the best candidate for the job. By leveraging the existing intellectual property data associated with behavioral mapping in AccuMatch Behavior Intelligence as well as expert data and using tools such as Amazon comprehend service (ACS), IBM Watson Natural Language Understanding (NLU), and Machine Learning (ML) techniques, five different methods have been provided and analyzed to predict how an individual in a team gets motivated. Therefore, this paper presents multiple proposed methods to predict Towards/Away behavior and discusses the rationale behind the selection of these methods along with the results obtained.