Application of Sentiment Analysis in Talent Management

Computer Science

Management is pivotal for an organisation. It influences all its sectors and is one of the most apprehensive jobs. To keep up with the pace, an organisation needs a manager with good leadership qualities, communication skills, integrity, reliability and confidence. The main objective of this paper is to analyse the feedback(s) of a manager and output an opinion (In the form of rating) along with the most suitable sub-department (i.e., Logistics, Web-development, Sponsorship and Finance) that they can work in. The techniques used in the paper are Naive Baye’s theorem for numeral ratings and a hybrid of Support-vector machine and decision tree for textual comments. The numeral rating will contribute in determining the final 5-star rating of a manager as well as their allotted sub-department. On the other hand, SVM/DT will be used to classify the textual reviews into either positive or negative and hence, contribute to the final rating.

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