Sarcasm Detection for Workplace Stress Management

Sarcasm Detection for Workplace Stress Management

Urmila Shrawankar (GHRCE, RTM Nagpur University, Nagpur (MS), India) and Chaitali Chandankhede (MIT Pune, Pune, India)
Copyright: © 2019 |Pages: 17
DOI: 10.4018/IJSE.2019070101

Abstract

Working stress is becoming very common. Handling working stress at the workplace is really going to be challenging. As a result, most of the time most of the time people start behaving in sarcastic ways through verbal communication, through different gestures, using emoticons, or writing reviews or comments that leads to increasing their anxiety sometimes promotes depression. It is difficult to identify sarcasm in written notes or communication. Feedback analysis is not a direct method since feedback or employer reviews are written in more formal language. This motivates the authors to work on the employee feedback system. The currently developed system helps to detect the sarcastic emotions by applying different methodologies on several types of statements. This will help corporations and other big organizations to identify reasons behind sarcastic behavior or increased anxiety. As a result, they can promote counseling programs, psychological treatment, or yoga-meditation camps.
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Many researchers have performed and investigated the use of different types of features in text dataset along with different methods for sarcasm detection. Different methods are emerging for sarcasm detection such as Deep learning, Boot strapping etc. (Table 1).

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