Summary of The Moral Foundations Weibo Corpus, by Renjie Cao et al.
The Moral Foundations Weibo Corpus
by Renjie Cao, Miaoyan Hu, Jiahan Wei, Baha Ihnaini
First submitted to arxiv on: 14 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces a new dataset called the Moral Foundation Weibo Corpus, which aims to measure moral sentiments in natural language processing texts. The corpus consists of 25,671 Chinese comments on Weibo, with each comment manually annotated by at least three annotators based on ten moral categories. The dataset is designed to provide nuanced understanding for accurate analysis and model training. Additionally, the paper evaluates the performance of several large language models on moral sentiment classification. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers created a big database of Chinese comments on Weibo, called the Moral Foundation Weibo Corpus. They labeled each comment with information about its moral content. This is important because it can help us understand how people think and behave online. The paper also compares different machine learning models to see which ones work best for this task. |
Keywords
* Artificial intelligence * Classification * Machine learning * Natural language processing
