Facebook activity event extraction system

Yuan Hao Lin, Chia Hui Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

The popularity of social networks has made them a perfect medium for activity or advertising campaign promotion. Therefore, many people use Facebook pages to announce their advertising campaign. The purpose of this study is to extract activity events by constructing two named entity recognition models, namely activity name and location, via a Web NER model generation tool [1]. We enhance the tool by improving the tokenizer and alignment technique. In addition, we also use a large database of FB checkin places for location name recognition improvement. For entity relation extraction, we apply sequential pattern mining to find rules for start date, end date, and location coupling. We use 1,300 posts from Facebook to test the activity event extraction performance. The experimental results show 0.727, 0.694 F1score for activity name and location recognition; and 0.865, 0.72 F1-score for start and end date extraction. Overall, the extraction performance for activity event extraction is 0.708.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016
編輯Chung-Hsien Wu, Yuen-Hsien Tseng, Hung-Yu Kao, Lun-Wei Ku, Yu Tsao, Shih-Hung Wu
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面229-243
頁數15
ISBN(電子)9789573079293
出版狀態已出版 - 1 10月 2016
事件28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016 - Tainan, Taiwan
持續時間: 6 10月 20167 10月 2016

出版系列

名字Proceedings of the 28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016

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???event.eventtypes.event.conference???28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016
國家/地區Taiwan
城市Tainan
期間6/10/167/10/16

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