Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms

Yi Jie Huang, Chu Hsien Su, Yi Chun Chang, Tseng Hsin Ting, Tzu Yuan Fu, Rou Min Wang, Hong Jie Dai, Yung Chun Chang, Jitendra Jonnagaddala, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

The increasing popularity of social media lead users to share enormous information on the internet. This information has various application like, it can be used to develop models to understand or predict user behavior on social media platforms. For example, few online retailers have studied the shopping patterns to predict shopper's pregnancy stage. Another interesting application is to use the social media platforms to analyze users' health-related information. In this study, we developed a tree kernel-based model to classify tweets conveying pregnancy related information using this corpus. The developed pregnancy classification model achieved an accuracy of 0.847 and an F-score of 0.565. A new corpus from popular social media platform Twitter was developed for the purpose of this study. In future, we would like to improve this corpus by reducing noise such as retweets.

原文英語
主出版物標題DDDSM 2017 - 1st International Workshop on Digital Disease Detection using Social Media, Proceedings of the Workshop
發行者Association for Computational Linguistics (ACL)
頁面26-32
頁數7
ISBN(電子)9781948087070
出版狀態已發佈 - 2017
事件1st International Workshop on Digital Disease Detection using Social Media, DDDSM 2017, co-located with the 8th International Joint Conference on Natural Language Processing, IJCNLP 2017 - Taipei, 台灣
持續時間: 11月 27 2017 → …

出版系列

名字DDDSM 2017 - 1st International Workshop on Digital Disease Detection using Social Media, Proceedings of the Workshop

會議

會議1st International Workshop on Digital Disease Detection using Social Media, DDDSM 2017, co-located with the 8th International Joint Conference on Natural Language Processing, IJCNLP 2017
國家/地區台灣
城市Taipei
期間11/27/17 → …

ASJC Scopus subject areas

  • 軟體
  • 語言和語言學
  • 語言與語言學
  • 人工智慧

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