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TitleFinancial Keyword Expansion via Continuous Word Vector Representations
CreatorWang, Chuan-Ju;Tsai, Ming-Feng
蔡銘峰
Contributor資科系
Date2014-10
Date Issued22-Jun-2016 16:21:05 (UTC+8)
SummaryThis 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.
RelationProceedings of the 2014 International Conference on Empirical Methods in Natural Language Processing (EMNLP `14), 1453-1458, 2014
Typeconference
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