Financial Keyword Expansion via Continuous Word Vector Representations

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Please use this identifier to cite or link to this item: http://utaipeir.lib.utaipei.edu.tw/dspace/handle/987654321/16971

Title:	Financial Keyword Expansion via Continuous Word Vector Representations
Authors:	Tsai, Ming-Feng;Wang, Chuan-Ju;王釧茹
Contributors:	臺北市立大學資訊科學系
Date:	2014
Issue Date:	2019-02-14
Abstract:	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-ofWords (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:	Conference on Empirical Methods in Natural Language Processing (EMNLP’14)，Doha，2014
Appears in Collections:	[Department of Computer Science] Proceedings

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