Deep learning for financial sentiment analysis on finance news providers
By Min-Yuh Day, Chia-Chou Lee. 2016
151 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Omer Berat Sezer
- M. Ugur Gudelek
- Bang Xiang Yong
- A. S. Abdullah
- Amna Riaz
- Mohd Rozaini Abdul Rahim
- Babar Hayat
- Muhammad Kamran
In Electrical and Electronic Engineering
- A. Ozbayoglu
- M. Ugur Gudelek
- Omer Berat Sezer
- Bang Xiang Yong
- A. S. Abdullah
- Mohd Rozaini Abdul Rahim
- Longbing Cao
- Weiwei Jiang
In Management Science and Operations Research
- M. Ugur Gudelek
- Omer Berat Sezer
- A. Ozbayoglu
- Bang Xiang Yong
- A. S. Abdullah
- Mohd Rozaini Abdul Rahim
- Weiwei Jiang
- Longbing Cao
Citations in the corpus
- Deep Learning for Financial Applications : A Survey (2020, methodology): “[73] used financial sentiment analysis using text mining and DNN for stock algorithmic trading.”
- A Stock Market Trading System Using Deep Neural Network (2017, methodology): “It has also been applied in financial markets for prediction of stock prices using textual news data and numerical data [4] [5].”
- Sentiment Analysis Using Deep Learning Techniques: A Review (2017, background): “In this paper [38], a new deep neural network structure has been presented termed as WSDNNs (Weakly Shared Deep Neural Networks).”