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Research Article Open Access
We have learnt many lessons highlighting the fact that while the impact of employees with positive mind can surely put an organization on the trajectory of success, the presence of employees with negative attitude can not only diffuse the already existing positive air but can halt the growth engine altogether and push the organization into disastrously irrecoverable state. Hence, understanding the minds of the employees is of paramount importance for initiating proactive steps to sustain the growth momentum. The authors have evolved a model, explained in a step by step tutorial manner, to read and classify employees’ attitude. The model employs K means clustering to construct an attitude reader and Rotation Forest to build an attitude classifier. Eventually, the model has been tested on a typical dataset pertaining to employees involved in train operations.