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EMPLOYEE DATA MINING BASED ON TEXT AND IMAGE PROCESSING.

Authors :
Prof. Vijay .More
Ms. Ankita Shetty
Ms. Aishwarya Mapara
Mr. Rahul Ghuge
Mr. Rohit Sharma
Prof. Vijay .More
Ms. Ankita Shetty
Ms. Aishwarya Mapara
Mr. Rahul Ghuge
Mr. Rohit Sharma
Source :
JournalNX - A Multidisciplinary Peer Reviewed Journal; 2018: QIPCEI2K18; 25-27; 2581-4230
Publication Year :
2021

Abstract

Employees of any company need to know whether their employees are happy or sad or they have any problem in their working environment. There should be some mechanism to handle this information about the employee. Employee chatting messages could be analyzed using sentiment analysis and employee mood detection is retrieved based on text analysis. Also, Employee facial expressions can be detected using Image Processing on employee images taken through Web Camera while an employee is chatting with colleagues. Using Image Processing, Emotion of employee such as Happy, Angry, Sad or Normal is detected. Employee analysis report is shown to company management to find whether the employee is satisfied with company or employee is facing some problem in the working environment.

Details

Database :
OAIster
Journal :
JournalNX - A Multidisciplinary Peer Reviewed Journal; 2018: QIPCEI2K18; 25-27; 2581-4230
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1366025806
Document Type :
Electronic Resource