SSLED A Novel Technique to Perform Sentimental Analysis Using Lips Expression
Mohammad Shabaz1, Shariq Rashid2
1Shariq Rashid, Department of Computer Science Engineering, Universal Institute of Engineering & Technology, Mohali (Punjab), India.
2Mohammad Shabaz, Department of Computer Science Engineering, Universal Institute of Engineering & Technology, Mohali (Punjab), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 2925-2927 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6051058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The field of computer science is limitless and vast; it is no more strict to traditional computations and programming. Sentimental Analysis becomes the burning issue and with the emergence of image analysis, face detection, recognition and then to perform sentimental analysis on it becomes the major challenges to achieve. We have taken one such big challenge of performing sentimental analysis on image and thus proposed a novel methodology named SSLED in which we have stored segmented images in a repository with tags that depict surprise, sadness, anger, joy, fear, disgust, contempt and then compare the input image to them and finding the pattern and thus finding sentiments of an individuals. These images were taken during a technical and innovative event. The result describes enthusiasm, energy and sentiments of people attending such events.
Keyword: Sentimental Analysis, Face Analysis, Lips Analysis, Opinions, Emotions.
Scope of the Article: Performance Evaluation of Networks