Sentiment analysis in financial texts

By Samuel W. K. Chan, Mickey W. C. Chong. 2017

143 citations recorded by the source corpus.

Subfields: Artificial Intelligence, 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

1. Frank Xing
2. Roy E. Welsch
3. Erik Cambria
4. Mathias Kraus
5. Stefan Feuerriegel
6. Soujanya Poria
7. Devamanyu Hazarika
8. Louis-philippe Morency

In Management Science and Operations Research

1. Mathias Kraus
2. Frank Xing
3. Roy E. Welsch
4. Stefan Feuerriegel
5. Erik Cambria
6. Longbing Cao
7. Dogu Araci
8. Fatemeh Hemmatian

Citations in the corpus

• Decision support from financial disclosures with deep neural networks and transfer learning (2017, background): “, headlines of news stories [19], the content of newspaper articles [20, 11, 21, 22, 23] or company-specific disclosures [24, 6].”
• Natural language based financial forecasting: a survey (2017, background): “Due to the lack of ground truth in the financial domain, [24] can only evaluate model accuracy on a popular movie review dataset.”