2021
DOI: 10.1088/1742-6596/1802/3/032054 View full text |Buy / Rent full text
Retracted 2021-3-1
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Abstract: In recent years, more and more people are keen to express their feelings and opinions in the form of pictures and texts on social media at the same time, which makes the multimodal data with pictures and texts as the main content growing. Compared with monomodal data, multimodal data contains more information and can reveal the real feelings of users. The analysis of the emotion of these massive multimodal data is helpful to better understand people’s attitudes and viewpoints and has a wide range of applicatio… Show more

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“…Liu first applied the self-encoder model to the recom-mendation system and proposed the self-encoder based collaborative filter (ACF) [11]. Xiao et al proposed collaborative deep learning (CDL), which combines stacked denoising autoencoder (sdae) with probability matrix decomposition in a tightly coupled manner [12]. Zheng et al constructed an unsupervised associated user mining method by calculating the rarity of word segmentation through user name word segmentation and nrgram probability [13].…”
Section: Literature Reviewmentioning
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“…Liu first applied the self-encoder model to the recom-mendation system and proposed the self-encoder based collaborative filter (ACF) [11]. Xiao et al proposed collaborative deep learning (CDL), which combines stacked denoising autoencoder (sdae) with probability matrix decomposition in a tightly coupled manner [12]. Zheng et al constructed an unsupervised associated user mining method by calculating the rarity of word segmentation through user name word segmentation and nrgram probability [13].…”
Section: Literature Reviewmentioning
“…For example, human posture features describe the position of human joints from a global perspective, and facial expression features explain the apparent structure of local areas of the image, which are quite beneficial. Following a large number of trials, the accuracy of diverse emotion recognition on different particular characteristics differs, indicating that various aspects differ significantly in the recognition sensitivity of an emotion type [26]. e Dempster-Shafer probability concept, abbreviated as DS theory, is a popular method in the field of multisensor data fusion.…”
Section: Multimodal Weighted Feature Fusion Based On Ds Evidence Eorymentioning