政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/98232

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 109952/140901 (78%)
Visitors : 46061477 Online Users : 968

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 140.119/98232

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/98232

Title:	Financial Sentiment Analysis for Risk Prediction
Authors:	Wang, Chuan-Ju;Tsai, Ming-Feng;Liu, Tse;Chang, Chin-Ting 蔡銘峰
Contributors:	資科系
Date:	2013-10
Issue Date:	2016-06-22 17:10:38 (UTC+8)
Abstract:	This paper attempts to identify the importance of sentiment words in financial reports on financial risk. By using a financespecific sentiment lexicon, we apply regression and ranking techniques to analyze the relations between sentiment words and financial risk. The experimental results show that, based on the bag-of-words model, models trained on sentiment words only result in comparable performance to those on origin texts, which confirms the importance of financial sentiment words on risk prediction. Furthermore, the learned models suggest strong correlations between financial sentiment words and risk of companies. As a result, these findings are of great value for providing us more insight and understanding into the impact of financial sentiment words in financial reports.
Relation:	Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP `13), 802-808, 2013
Data Type:	conference
Appears in Collections:	[資訊科學系] 會議論文

Files in This Item:

File	Description	Size	Format
802-808.pdf		781Kb	Adobe PDF2	447	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...