政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/118483

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113656/144643 (79%)
Visitors : 51719427 Online Users : 608

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/118483

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/118483

Title:	Predicting Political Tendency of Posts on Facebook
Authors:	邱淑怡 Chiu, Shu-I 徐國偉 Hsu, Kuo-Wei
Contributors:	資科博七
Keywords:	Text mining;Facebook
Date:	2018-02
Issue Date:	2018-07-09 14:50:18 (UTC+8)
Abstract:	Facebook is the most popular social networking website. Every post on Facebook actually can imply the user‟s emotion or opinion. In this paper, we present our analysis on posts associated with left- and right-wing politics in the United States of America. Our dataset contains posts several related Facebook fan pages. We analyze sentiment of posts for the prediction of left- or right-wing politics. We build sentiment features for the prediction and evaluate prediction performance. The results show that F1-score can be as high as 0.95 when TF-IDF is used with a decision tree. Posts generally involve emotional words. We use the lexical databases for sentiment analysis. Our experiment results show that the sentiment analysis is sensitive to some classification algorithms.
Relation:	International Conference on Software and Computer Applications, Universiti Malaysia Pahang
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1145/3185089.3185094
DOI:	10.1145/3185089.3185094
Appears in Collections:	[資訊科學系] 會議論文

Files in This Item:

File	Description	Size	Format
110114.pdf		623Kb	Adobe PDF2	410	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...