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Image sentiment prediction based on textual descriptions with adjective noun pairs

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Abstract

We aim to predict the sentiment related information reflected in images based on SentiBank, which is a library including Adjective Noun Pair (ANP) concept detectors for image sentiment analysis. Instead of using only ANP responses in images as mid-level features, we make full use of the ANPs’ textual sentiment. We first give each ANP concept in SentiBank a sentiment value by adding together the textual sentiment value of the adjective and that of the noun. Having detected the presence of ANPs in an image, we define an image sentiment value by computing the weighted sum of the textual sentiment values of ANPs describing this image with corresponding ANP responses as weights. On the one hand, we adopt a one-dimension logistic regression model to predict the sentiment orientation according to the image sentiment value. On the other hand, we use the ANP responses detected in an image as mid-level representations to train a regularized logistic regression classifier for sentiment prediction. We finally employ a late fusion algorithm to combine the prediction results from the two schemes. Experimental results reveal that the proposed method which takes into account the textual sentiment of ANPs improves the performance of SentiBank based image sentiment prediction.

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Notes

  1. http://visual-sentiment-ontology.appspot.com/

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Acknowledgements

This work was supported by the Science and Technology Innovation Engineering Program for Shaanxi Provincial Key Laboratories under Grant 2013SZS15-K02, the Basis and Cutting-Edge Research Project of Science and Technology Department of Henan Province under Grant 142300410248 and the Key Scientific Research Plan of Higher Education Institutions of Henan Province under Grant 15A510041.

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Authors and Affiliations

  1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, 710072, China

    Zuhe Li & Yangyu Fan

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

    Zuhe Li & Fengqin Wang

  3. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, 710119, China

    Weihua Liu

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  1. Zuhe Li
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Correspondence to Zuhe Li.

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Li, Z., Fan, Y., Liu, W. et al. Image sentiment prediction based on textual descriptions with adjective noun pairs. Multimed Tools Appl 77, 1115–1132 (2018). https://doi.org/10.1007/s11042-016-4310-5

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  • DOI: https://doi.org/10.1007/s11042-016-4310-5

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