EventGo! Exploring Event Dynamics from Social-Media Posts

Chia Hui Chang, Yuan Hao Lin, Hsiu Min Chuang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Looking for local events and promotions is a common need for most people during travel or moving to a new city. Similarly, delivering event messages to the right people is also a challenge for small businesses that seek ways to promote their events. In addition to announcements on their websites, further advertisement on social networking sites is very common, e.g., Facebook fanpages or event posts, and event-based social networks such as meetup.com. The goal of this paper is to build an event search engine to fulfill the information need. We start with the event source from social networks and design event title and place name recognition models for event database construction. The framework enables the extraction of 1K events from 230K Facebook fanpages in Taiwan every day. With the construction of event database from social networks, we are able to explore the dynamics of each city in Taiwan and disclose statistics in the events extracted from Facebook fanpages and Facebook events, showing the change in the ad market.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2020 International Computer Symposium, ICS 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面548-552
頁數5
ISBN(電子)9781728192550
DOIs
出版狀態已出版 - 12月 2020
事件2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
持續時間: 17 12月 202019 12月 2020

出版系列

名字Proceedings - 2020 International Computer Symposium, ICS 2020

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???event.eventtypes.event.conference???2020 International Computer Symposium, ICS 2020
國家/地區Taiwan
城市Tainan
期間17/12/2019/12/20

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