學術產出-會議論文

文章檢視/開啟

書目匯出

Google ScholarTM

政大圖書館

引文資訊

TAIR相關學術產出

題名 Decoding Campaigning Strategies: A Machine Learning Approach to Understanding the Impact of Election Systems on Legislative Candidates
作者 鄭夙芬
Cheng, Su-Feng;Kuo, Dean Peng-Ting;Fu, Ronan Tse-min
貢獻者 選研中心
日期 2024-05
上傳時間 4-十月-2024 09:42:32 (UTC+8)
關聯 2024 Annual Meeting and Conference of the Japanese Association of Electoral Studies, Japanese Association of Electoral Studies
資料類型 conference
dc.contributor 選研中心
dc.creator (作者) 鄭夙芬
dc.creator (作者) Cheng, Su-Feng;Kuo, Dean Peng-Ting;Fu, Ronan Tse-min
dc.date (日期) 2024-05
dc.date.accessioned 4-十月-2024 09:42:32 (UTC+8)-
dc.date.available 4-十月-2024 09:42:32 (UTC+8)-
dc.date.issued (上傳時間) 4-十月-2024 09:42:32 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/153888-
dc.format.extent 1360471 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) 2024 Annual Meeting and Conference of the Japanese Association of Electoral Studies, Japanese Association of Electoral Studies
dc.title (題名) Decoding Campaigning Strategies: A Machine Learning Approach to Understanding the Impact of Election Systems on Legislative Candidates
dc.type (資料類型) conference