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It is noted that the existing methods ignore such vital cues for sentiment analysis. This work explores a vision transformer to extract visual features that represent contextual information about the appearance of the text image. Further, to strengthen the visual features, the proposed work introduces contrastive learning which maximizes the gap between inter-classes and minimizes the gap between intra-classes of positive, negative, and neutral. To demonstrate the effectiveness of the proposed method, it is tested on our own constructed dataset and benchmark dataset. A comparative study of our method with the existing method shows the proposed method is superior in the classification of positive, negative, and neutral scene text images. <\/jats:p>","DOI":"10.1142\/s0218001424520293","type":"journal-article","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T02:31:49Z","timestamp":1729132309000},"source":"Crossref","is-referenced-by-count":2,"title":["A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images"],"prefix":"10.1142","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9026-4613","authenticated-orcid":false,"given":"Shivakumara","family":"Palaiahnakote","sequence":"first","affiliation":[{"name":"School of Science, Engineering and Environment, University of Salford, Salford M5 4WT, UK"},{"name":"Data Science and Artficial Intelligence (DSAI) Hub, University of Salford, Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3046-0357","authenticated-orcid":false,"given":"Dhruv","family":"Kapri","sequence":"additional","affiliation":[{"name":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute Kolkata, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3625-3021","authenticated-orcid":false,"given":"Muhammad Hammad","family":"Saleem","sequence":"additional","affiliation":[{"name":"School of Science, Engineering and Environment, University of Salford, Salford M5 4WT, UK"},{"name":"Data Science and Artficial Intelligence (DSAI) Hub, University of Salford, Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5426-2618","authenticated-orcid":false,"given":"Umapada","family":"Pal","sequence":"additional","affiliation":[{"name":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute Kolkata, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,12,23]]},"reference":[{"key":"S0218001424520293BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.08.005"},{"key":"S0218001424520293BIB002","first-page":"281","volume":"13","author":"Bergstra J.","year":"2012","journal-title":"J. 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