Visual sentiment analysis using data-augmented deep transfer learning techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16262-4.pdf
Reference42 articles.
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2. Ain QT et al (2017) Sentiment analysis using deep learning techniques: a review. Int J Adv Comput Sci Appl 8(6):424
3. Borth D, Chen T, Ji R, Chang S-F (2013) Sentibank: large-scale ontology and classifiers for detecting sentiment and emotions in visual content. pp 459–460
4. Borth D, Ji R, Chen T, Breuel T, Chang S-F (2013) Large-scale visual sentiment ontology and detectors using adjective noun pairs. pp 223–232
5. Cai G, Lv G (2017) Heterogeneous transfer with deep latent correlation for sentiment analysis, vol 2. IEEE, pp 252–256
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