A New Hybrid Technique on Image Emotion Classification System Using LBP Variants

Registration ID: IJNRD_182497

Published ID: IJNRD2208109

DOI: Click Here to Get

Dr.Ramandeep Kaur , Dr. Vijay Bharadwaj

TF-IDF, N-Grams, MSA, Feature Extraction, Sentiment Analysis, Gurmukhi script, Emotion Classification, Decision tree, Local binary pattern.

Abstract: Social media has become a common platform for exchanging opinions and ideas. Various Smartphone apps, such as Facebook, Twitter, Instagram, and WhatsApp, offer a common forum for people to communicate with one another. In this paper, LBP variants and a hybrid approach are considered for emotion classification on a Twitter image dataset containing images linked to the Gurmukhi script. This data was then filtered to only include content that fit into one of four emotion categories: happy, love, sad, or angry. For feature extraction, LBP and its variants such as MLBP, DRLBP, OCLBP, CSLBP, RLBP, and Hybrid of MLBP and DRLBP are used. The classification was done by using supervised classifiers such as decision tree, nave Bayes, kNN, and SVM, which classified the data into the appropriate emotion group. The resulting values were reported in order to ascertain the precision, recall, f-measure, and accuracy of the proposed method. The experimental results indicate that the decision tree is the highest, with high recall, F-score, and accuracy parameters. The Hybrid strategy is also measured to outperform the others

Published Paper   E-Certificate

Dr.Ramandeep Kaur & Dr. Vijay Bharadwaj (August-2022). A New Hybrid Technique on Image Emotion Classification System Using LBP Variants. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(8), 1010-1022. https://ijnrd.org/papers/IJNRD2208109.pdf

Volume 7 Issue 8, August-2022

Pages : 1010-1022

Paper Reg. ID: IJNRD_182497

Published Paper Id: IJNRD2208109

Downloads: 000121987

Research Area: Computer Science & Technology 

Country: BATHINDA, Punjab, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2208109.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2208109

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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