Identifying the influential factors of commodity futures prices through a new text mining approach
Year of publication: |
2020
|
---|---|
Authors: | Li, Jianping ; Li, Guowen ; Zhu, Xiaoqian ; Yao, Yanzhen |
Subject: | Commodity futures prices | Dependency Parsing-Sentence-Latent Dirichlet Allocation (DP-Sent-LDA) | Financial risk | Text analysis | Topic modelling |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal ; Konferenzbeitrag ; Conference paper |
Language: | English |
Other identifiers: | 10.1080/14697688.2020.1814008 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Using machine learning to measure financial risk in China
Al-Haschimi, Alexander, (2023)
-
Structural review of relics tourism by text mining and machine learning
Das, Subhankar, (2022)
-
Structural review of relics tourism by text mining and machine learning
Das, Subhankar, (2022)
- More ...
-
Expected default based score for identifying systemically important banks
Yao, Yanzhen, (2017)
-
Li, Jingyu, (2019)
-
Wei, Lu, (2019)
- More ...