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Productivity Profiling of Organizations based upon Communication Interpretation and Analysis

Email has become one of the most efficient and cost-effective means of communication in the workplace. It constitutes a major chunk of the daily office workflow. A company's productivity fully depends on the employees' productivity, which has everything to do with carrying out their daily responsibilities. One of the most important areas of optimization is communication and it's generally done through email. By analysing them, we gain an insight into the behaviour and productivity of an employee. In this problem, we will be working on a dataset containing email exchanges of Enron Corporation as a test case. The results drawn can be applied to a vast array of organizations. The results derived from the dataset give an insight into the working pattern of employees, which we use to find out when the productivity is high, and when there has been a lack of productivity and needs human support to motivate the employees. In this study, we have implemented a deep learning algorithm to predict and analyse the characteristics of an email which can help to suggest effective working hours according to the behaviour of the employees.