PerceptSent - Exploring Subjectivity in a Novel Dataset for Visual Sentiment Analysis
Published 2022 View Full Article
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Title
PerceptSent - Exploring Subjectivity in a Novel Dataset for Visual Sentiment Analysis
Authors
Keywords
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Journal
IEEE Transactions on Affective Computing
Volume 14, Issue 3, Pages 1817-1831
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-11-29
DOI
10.1109/taffc.2022.3225238
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- ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
- (2020) Mohammad Ehsan Basiri et al. Future Generation Computer Systems-The International Journal of eScience
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- (2019) Rodrigo Minetto et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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- (2018) Kaikai Song et al. NEUROCOMPUTING
- The Socio-Moral Image Database (SMID): A novel stimulus set for the study of social, moral and affective processes
- (2018) Damien L. Crone et al. PLoS One
- Enhancing deep learning sentiment analysis with ensemble techniques in social applications
- (2017) Oscar Araque et al. EXPERT SYSTEMS WITH APPLICATIONS
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- (2017) Bin-Bin Gao et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
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- A Neural Word Embeddings Approach for Multi-Domain Sentiment Analysis
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- (2015) Yann LeCun et al. NATURE
- Experimental evidence of massive-scale emotional contagion through social networks
- (2014) A. D. I. Kramer et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures
- (2011) S. A. Golder et al. SCIENCE
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