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Application of convolutional neural network models for personality prediction from social media images and citation prediction for academic papers.

机译：卷积神经网络模型在社交媒体图像个性预测和学术论文引文预测中的应用。

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摘要

Inspired by the success of convolutional neural networks in image classification, and other higher level vision tasks, we explore two applications of such deep convolutional neural networks to model tasks typically involving human assessment, viz. i) prediction of personality from social media images, and ii) prediction of citations from the visual elements of an academic paper. The aim in this context is to discover if there is any predictable and learnable signal in the input data. As an extension, we attempt to discover what aspects of the signal are indeed learnt that lead to the results presented. For instance, if personality can be predicted, what aspects of the image are causing that? Similarly if an academic paper is highly cited, what are the characteristic visual elements that cause this? We employ convolutional neural networks in order to understand what imputable attributes we may derive that are simpler to reason.

机译：受卷积神经网络在图像分类和其他高级视觉任务中的成功启发，我们探索了这种深层卷积神经网络在建模通常涉及人类评估的任务方面的两种应用。 i）从社交媒体图像预测个性，ii）从学术论文的视觉元素预测引文。在这种情况下，目的是发现输入数据中是否存在任何可预测和可学习的信号。作为扩展，我们尝试发现确实了解了信号的哪些方面，从而导致了所提出的结果。例如，如果可以预测个性，那么图像的哪些方面会导致这种情况？同样，如果一篇学术论文被高度引用，导致这一现象的特征性视觉元素是什么？我们使用卷积神经网络，以了解我们可以推论出哪些更易于推理的属性属性。

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作者
Dave, Akshat.;
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University of California, San Diego.;

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授予单位 University of California, San Diego.;
学科 Artificial intelligence.;Computer science.
学位 M.S.
年度 2016
页码 62 p.
总页数 62
原文格式 PDF
正文语种 eng
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2. Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model [J] . Cang Ruijin, Li Hechao, Yao Hope, Computational Materials Science . 2018,第期

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3. Prediction of collective actions using deep neural network and species competition model on social media [J] . Yang Wei, Liu Xiao, Liu Jin, World Wide Web . 2019,第6期

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4. Text Classification for Sentiment Prediction of Social Media Dataset using Multichannel Convolution Neural Network [C] . Devi Munandar, Andria Arisal, Dianadewi Riswantini, International Conference on Computer, Control, Informatics and its Applications . 2018

机译：使用多通道卷积神经网络的社交媒体数据集情感预测文本分类
5. Convolutional Neural Network for Link Prediction Based on Subgraphs in Social Networks [D] . Ragunathan, Kumaran . 2020

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6. Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study [O] . Yuexin Cai, Jin-Gang Yu, Yuebo Chen, 2021

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Application of convolutional neural network models for personality prediction from social media images and citation prediction for academic papers.

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