Analyzing and Detecting Employee’s Emotion for Amelioration of Organizations
These days employees well- being is the most growingly pertinent and mandatory consideration in the modern workplace of any organization. Until recently, emotions were considered a forbidden topic in the working place. They were no person’s concern, and they had no place in business. They were not allowed to discuss it and those issues must always be left at home. Today, research on how emotions affect inventiveness, production, and profession success has put a jaunt on the subject. They are realizing that how well they elicit and sustain positive emotional states in their employees plays a major role in their organization’s victory or defeat. This is because emotions directly influence the five major sources of competitive advantage in today’s marketplace: Intellectual Capital, Customer Service, Organizational Reactivity, Production, Employee appeal and retentivity. By becoming more knowledgeable about how emotions affect the primary sources of competitive advantage, organizations can help their management team recognize the critical connection of employee’s emotions and then try to make it right before it affects the productivity. In this paper, the proposed approach to the problem of employee’s emotions are resolved by detecting their emotions using C#. At the time of entering into the organization, face of the employees are captured to analyze their emotions and stored in the database.
Every day, humans type out more than 200 billion emails, hundreds of millions of tweets, and innumerable texts, chats, and private messages. No one person could pick through even a tiny sliver of this information and stitch together themes and trends—but computers are starting to be able to. For more than a decade, researchers have been developing computer programs that can ingest enormous amounts of writing to try and understand the emotions stirred up by an idea or a product.
