SINAI/SAD

西班牙厌食症数据集（SAD）是一个专门用于检测Twitter上西班牙语厌食症信息的语料库。该数据集从包含厌食症和非厌食症信息的多个账户中提取推文，旨在通过机器学习方法自动检测厌食症症状，以支持精神健康领域的早期症状检测。

The Spanish Anorexia Dataset (SAD) is a specialized corpus for detecting Spanish-language anorexia-related content on Twitter. This dataset extracts tweets from multiple accounts that post both anorexia-related and non-anorexia-related content, aiming to automatically detect anorexia symptoms via machine learning methods to support early symptom detection in the field of mental health.

原始信息汇总

数据集概述

数据集名称

• 名称: Spanish Anorexia Dataset
• 别名: SAD (Spanish Anorexia Detection corpus)

数据集描述

• 目的: 用于检测西班牙语推文中的厌食症信息。
• 内容: 包含从不同账户提取的西班牙语推文，包括厌食症和非厌食症消息。
• 应用: 通过自然语言处理技术，用于自动检测厌食症症状，辅助早期发现心理问题。

数据来源

• 来源: Twitter

许可证信息

• 许可证: Apache-2.0 License

联系信息

• 联系人:
  • [e-mail]
  • [e-mail]

引用信息

bibtex @inproceedings{lopez-ubeda-etal-2019-detecting, title = "Detecting Anorexia in {S}panish Tweets", author = "L{o}pez {U}beda, Pilar and Plaza del Arco, Flor Miriam and D{\i}az Galiano, Manuel Carlos and Urena Lopez, L. Alfonso and Martin, Maite", booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)", month = sep, year = "2019", address = "Varna, Bulgaria", publisher = "INCOMA Ltd.", url = "https://www.aclweb.org/anthology/R19-1077", doi = "10.26615/978-954-452-056-4_077", pages = "655--663", abstract = "Mental health is one of the main concerns of today{}s society. Early detection of symptoms can greatly help people with mental disorders. People are using social networks more and more to express emotions, sentiments and mental states. Thus, the treatment of this information using NLP technologies can be applied to the automatic detection of mental problems such as eating disorders. However, the first step to solving the problem should be to provide a corpus in order to evaluate our systems. In this paper, we specifically focus on detecting anorexia messages on Twitter. Firstly, we have generated a new corpus of tweets extracted from different accounts including anorexia and non-anorexia messages in Spanish. The corpus is called SAD: Spanish Anorexia Detection corpus. In order to validate the effectiveness of the SAD corpus, we also propose several machine learning approaches for automatically detecting anorexia symptoms in the corpus. The good results obtained show that the application of textual classification methods is a promising option for developing this kind of system demonstrating that these tools could be used by professionals to help in the early detection of mental problems.", }