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DGurgurov/maltese_sa

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Hugging Face2024-05-30 更新2024-06-11 收录
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资源简介:
该数据集包含来自新闻文章和社交媒体帖子评论的情感分析数据。它结合了Cortis和Davis (2019)以及Dingli和Sant (2016)的两个数据集。该数据集用于将外部常识知识注入多语言大型语言模型的项目中。

该数据集包含来自新闻文章和社交媒体帖子评论的情感分析数据。它结合了Cortis和Davis (2019)以及Dingli和Sant (2016)的两个数据集。该数据集用于将外部常识知识注入多语言大型语言模型的项目中。
提供机构:
DGurgurov
原始信息汇总

数据集概述

数据集名称

Sentiment Analysis Data for the Maltese Language

数据集描述

该数据集包含源自新闻文章评论和社交媒体帖子的情感分析数据。它结合了Cortis和Davis(2019)以及Dingli和Sant(2016)的两个数据集。

数据结构

用于注入外部常识知识到多语言大型语言模型项目。

语言

马耳他语(mt)

任务类别

文本分类

许可证

MIT

引用信息

bibtex @inproceedings{cortis-davis-2019-social, title = "A Social Opinion Gold Standard for the {M}alta Government Budget 2018", author = "Cortis, Keith and Davis, Brian", editor = "Xu, Wei and Ritter, Alan and Baldwin, Tim and Rahimi, Afshin", booktitle = "Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)", month = nov, year = "2019", address = "Hong Kong, China", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/D19-5547", doi = "10.18653/v1/D19-5547", pages = "364--369", abstract = "We present a gold standard of annotated social opinion for the Malta Government Budget 2018. It consists of over 500 online posts in English and/or the Maltese less-resourced language, gathered from social media platforms, specifically, social networking services and newswires, which have been annotated with information about opinions expressed by the general public and other entities, in terms of sentiment polarity, emotion, sarcasm/irony, and negation. This dataset is a resource for opinion mining based on social data, within the context of politics. It is the first opinion annotated social dataset from Malta, which has very limited language resources available.", }

@inproceedings{dingli2016sentiment, title={Sentiment analysis on Maltese using machine learning}, author={Dingli, Alexiei and Sant, Nicole}, booktitle={Proceedings of The Tenth International Conference on Advances in Semantic Processing (SEMAPRO 2016)}, pages={21--25}, year={2016} }

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