DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

  • 类型：arxiv
  • 标识：1410.8586
  • 链接：https://arxiv.org/abs/1410.8586
  • 主题：database
  • 主分类：multimodal
  • 形态：method
  • 被引：316
  • 被引来源：Semantic Scholar
  • S2被引：316
  • OpenAlex被引：270
  • 影响力被引：44
  • TLDR：Performance evaluation shows the newly trained deep CNNs model SentiBank 2.0 (or called DeepSentiBank) is significantly improved in both annotation accuracy and retrieval performance, compared to its predecessors which mainly use binary SVM classification models.
  • OpenAlex ID：W1784731433
  • OpenAlex DOI：10.48550/arxiv.1410.8586
  • DOI：10.48550/arxiv.1410.8586
  • DOI来源：OpenAlex
  • 开放获取：green
  • 开放获取链接：https://arxiv.org/pdf/1410.8586
  • OpenAlex更新：2026-08-19
  • 待LLM分类：否
  • 成熟度：research
  • 场景：visual sentiment、image classification、CNN
  • 标题中文：DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
  • TLDR中文：性能评估显示，新训练的深度 CNN 模型 SentiBank 2.0（即 DeepSentiBank）在标注准确率与检索性能上较此前主要采用二分类 SVM 的版本有显著提升。
  • 来源文件：
  • [OpenAlex discover]
  • [S2 enrich]