Using Natural Language Processing for Biometric Identification Optimizatoin

The use of natural language processing (NLP) methods for assessing employee performance is examined in this research article. The paper suggests a technique for extracting pertinent information on work performance from employee-generated text data, such as emails, chats, and feedback surveys. The suggested approach makes use of NLP methods including topic modelling, sentiment analysis, and text classification to extract characteristics that may be utilized as performance indicators for employees. The study's findings imply that the suggested approach, when compared to more conventional assessment techniques, may provide a more comprehensive perspective of employee performance, and assist managers in reaching more informed conclusions about that performance.