Memotion 3：印地语-英语语码混合表情包的情感与情绪分析数据集
Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes
AI总结：
本研究推出包含1万条标注数据的Memotion 3数据集，首次覆盖印地语-英语语码混合表情包，填补该领域此前仅研究英语表情包的空白，同时给出任务定义、构建方法及基线，相关资源将开源。
摘要：
表情包是社交媒体平台上新时代的幽默传播载体，通常包含一张图片和若干文字，也可能被用于传播虚假信息或仇恨言论，因此对其开展深入研究至关重要。我们推出全新数据集Memotion 3，包含10000条带标注的表情包。与该领域现有主流数据集（包括Memotion此前版本）不同，Memotion 3首次纳入印地语-英语语码混合表情包，而此前该领域研究仅局限于英语表情包。我们阐述了Memotion任务、数据收集及数据集构建方法，并为该任务提供了基线。基线代码与数据集将在https://github.com/Shreyashm16/Memotion-3.0公开。
英文摘要：
Memes are the new-age conveyance mechanism for humor on social media sites. Memes often include an image and some text. Memes can be used to promote disinformation or hatred, thus it is crucial to investigate in details. We introduce Memotion 3, a new dataset with 10,000 annotated memes. Unlike other prevalent datasets in the domain, including prior iterations of Memotion, Memotion 3 introduces Hindi-English Codemixed memes while prior works in the area were limited to only the English memes. We describe the Memotion task, the data collection and the dataset creation methodologies. We also provide a baseline for the task. The baseline code and dataset will be made available at https://github.com/Shreyashm16/Memotion-3.0
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
