ImageArg

ImageArg是一个专注于图像说服力挖掘的多模态推特数据集，由匹兹堡大学计算机科学系创建。该数据集包含1003条推特数据，每条数据都包含图像和文本，旨在从辩论角度分析图像的说服力。数据集通过开发的说服力分类法，探索图像功能和说服手段，为多模态学习方法提供了基准。ImageArg的应用领域包括自动评估辩论中的图像说服力，以及开发智能工具，推荐基于文本输入的具有说服力的图像。

ImageArg is a multimodal Twitter dataset dedicated to image persuasion mining, developed by the Department of Computer Science at the University of Pittsburgh. It comprises 1003 Twitter posts, each paired with an image and its associated text, with the goal of analyzing the persuasiveness of images from an argumentative standpoint. Leveraging a purpose-built persuasion taxonomy, the dataset explores image functions and persuasive strategies, serving as a benchmark for multimodal learning methodologies. Application areas of ImageArg include automatic assessment of image persuasiveness in debates, as well as the development of intelligent tools that recommend persuasive images based on given text inputs.

搜集汇总

背景与挑战

背景概述

ImageArg是一个多模态推特数据集，专注于图像说服力挖掘，包含1003条包含图像和文本的推特数据，旨在从辩论角度分析图像说服力，并为多模态学习提供基准，应用于自动评估辩论图像说服力和开发智能推荐工具。