2020
DOI: 10.1007/978-3-030-56725-5_10
|View full text |Cite
|
Sign up to set email alerts
|

Hierarchical Attention Network in Stock Prediction

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 12 publications
0
1
0
Order By: Relevance
“…HANs are currently one of the most popular neural network algorithms being adopted in Computer Science. In 2020, the year of publication of this research, we have seen their applications in many different fields, such as Finance, to predict stock market values - Huang et al (2020); Linguistics, in the classification of historical documents - Kim et al (2020); Technology, in mobile app recommendations - Liang et al (2020); and Medicine, with detection models for Atrial Fibrillation -Mousavi, Afghah and Acharya (2020). We believe this flexibility shows the strength of the Attention model to handle different texts across many different vocabularies.…”
Section: Hierarchical Attention Network -Hanmentioning
confidence: 99%
“…HANs are currently one of the most popular neural network algorithms being adopted in Computer Science. In 2020, the year of publication of this research, we have seen their applications in many different fields, such as Finance, to predict stock market values - Huang et al (2020); Linguistics, in the classification of historical documents - Kim et al (2020); Technology, in mobile app recommendations - Liang et al (2020); and Medicine, with detection models for Atrial Fibrillation -Mousavi, Afghah and Acharya (2020). We believe this flexibility shows the strength of the Attention model to handle different texts across many different vocabularies.…”
Section: Hierarchical Attention Network -Hanmentioning
confidence: 99%