Sentiment Dictionary for Business Cycle Analysis and its Applications-Reference-Cited by-同舟云学术

Sentiment Dictionary for Business Cycle Analysis and its Applications

Published:2022 Issue:4 Volume:29 Page:1233-1253
ISSN:1340-7619
Container-title:Journal of Natural Language Processing
language:en
Short-container-title:Journal of Natural Language Processing

Author:

Goshima Keiichi¹,Shintani Mototsugu¹,Takamura Hiroya²

Affiliation:

1. UTokyo Economic Consulting Inc.

2. National Institute of Advanced Industrial Science and Technology

Publisher

Association for Natural Language Processing

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.jstage.jst.go.jp/article/jnlp/29/4/29_1233/_pdf

Reference27 articles.

1. Baker, S. R., Bloom, N., and Davis, S. J. (2016). “Measuring Economic Policy Uncertainty.” The Quarterly Journal of Economics, 131 (4), pp. 1593–1636.

2. Bojanowski, P., Grave, E., Joulin, A., and Mikolov, T. (2017). “Enriching Word Vectors with Subword Information.” Transactions of the Association for Computational Linguistics, 5, pp. 135–146.

3. Bry, G. and Boschan, C. (1971). Cyclical Analysis of Time Series: Selected Procedures and Computer Programs. National Bureau of Economic Research, Inc.

4. 五島圭一，高橋大志 (2017). 株式価格情報を用いた金融極性辞書の作成. 自然言語処理, 24 (4), pp. 547–577. [K. Goshima and H. Takahashi (2017). Building a Sentiment Dictionary for News Analytics using Stock Prices. Journal of Natural Language Processing, 24 (4), pp. 547–577.].

5. Goshima, K., Ishijima, H., Shintani, M., and Yamamoto, H. (2021). “Forecasting Japanese Inflation With a News-based Leading Indicator of Economic Activities.” Studies in Nonlinear Dynamics & Econometrics, 25 (4), pp. 111–133.

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