Using Natural Language Processing and Blockchain for Employee Performance Evaluation
Umesh Prasad, Soumitro Chakravarty, Yashwant Singh Bisht, Anjana Prusty, Ginni Nijhawan, Melanie Lourens · 2023
This study suggests a unique method for assessing employee performance that makes use of blockchain technology and natural language processing (NLP). The conventional techniques for evaluating performance, such as yearly reviews and appraisals, sometimes rely on subjective assessments and could not completely capture an employee's total performance. The research gathers text data written by employees from a variety of sources and uses NLP methods to extract pertinent aspects including sentiment analysis and text categorization. Smart contracts are used to store the extracted characteristics on a blockchain network, guaranteeing the results' transparency and immutability. Utilizing the characteristics that have been retrieved and the data that has been recorded on the blockchain network, the workers' performance is assessed in the last phase. The suggested technique combines the benefits of blockchain technology with NLP to provide a more dependable and accurate way for evaluating employee performance.