Financial Keyword Expansion via Continuous Word Vector Representations | Publication

Title	Financial Keyword Expansion via Continuous Word Vector Representations
Creator	Wang, Chuan-Ju;Tsai, Ming-Feng 蔡銘峰
Contributor	資科系
Date	2014-10
Date Issued	22-Jun-2016 16:21:05 (UTC+8)
Summary	This paper proposes to apply the continuous vector representations of words for discovering keywords from a financial sentiment lexicon. In order to capture more keywords, we also incorporate syntactic information into the Continuous Bag-of-Words (CBOW) model. Experimental results on a task of financial risk prediction using the discovered keywords demonstrate that the proposed approach is good at predicting financial risk.
Relation	Proceedings of the 2014 International Conference on Empirical Methods in Natural Language Processing (EMNLP `14), 1453-1458, 2014
Type	conference

dc.contributor	資科系
dc.creator (作者)	Wang, Chuan-Ju;Tsai, Ming-Feng
dc.creator (作者)	蔡銘峰	zh_TW
dc.date (日期)	2014-10
dc.date.accessioned	22-Jun-2016 16:21:05 (UTC+8)	-
dc.date.available	22-Jun-2016 16:21:05 (UTC+8)	-
dc.date.issued (上傳時間)	22-Jun-2016 16:21:05 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/98223	-
dc.description.abstract (摘要)	This paper proposes to apply the continuous vector representations of words for discovering keywords from a financial sentiment lexicon. In order to capture more keywords, we also incorporate syntactic information into the Continuous Bag-of-Words (CBOW) model. Experimental results on a task of financial risk prediction using the discovered keywords demonstrate that the proposed approach is good at predicting financial risk.
dc.format.extent	154576 bytes	-
dc.format.mimetype	application/pdf	-
dc.relation (關聯)	Proceedings of the 2014 International Conference on Empirical Methods in Natural Language Processing (EMNLP `14), 1453-1458, 2014
dc.title (題名)	Financial Keyword Expansion via Continuous Word Vector Representations
dc.type (資料類型)	conference