To develop an environment in which the organization can analyze the employee’s technical skills and interest towards the projects. Social media has received more attention nowadays. Public and private opinion about a wide variety of subjects is expressed and spread continually via many social media. Based on the analysis report the organization head will distribute the project for the correct person. Developing a program employee interaction analysis is an approach to be used to computationally measure employee' perceptions. In this paper, employees are combined in to a project group chat. Our paper aims to analyze these chats and to classify them as positive, weakly positive, strongly positive, weakly negative, strongly negative, negative and for neutral based on polarity values of chats. The aim of this paper is to analysis the pros and cons of the employee. This will help the organization to find the suitable person for the required project. The system finds this worth team through visualized network graph.
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