Open AccessImplementation and Analysis of Sentimental Analysis on Facial Expression Using HAAR Cascade Methods
Author(s) -
Darpan Anand
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i2.2308
Subject(s) - feeling , computer science , haar like features , python (programming language) , facial expression , expression (computer science) , artificial intelligence , face (sociological concept) , pattern recognition (psychology) , psychology , cognitive psychology , face detection , social psychology , facial recognition system , linguistics , philosophy , programming language , operating system
The sentimental analysis is phenomenon of exploring, analyzing and organizing human feelings. It is a process of extracting feelings of human faro pictures. It involves the separation of image into various characters such as face, background, etc. It uses lips and eye shape for extracting human feelings. It uses numerous of applications such as Pycharm Numpy ,Open CV, Python,etc. Its main objective is to find out the moods of human such as happy , sad ,etc. This report generates the emotional state of human being as well as different emotion of human in different situation.