Evaluating and understanding text-based stock price prediction models

By Enric Junqué de Fortuny, Tom De Smedt, David Martens, Walter Daelemans. 2014

103 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, 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. Mathias Kraus
2. Fatemeh Hemmatian
3. Stefan Feuerriegel
4. Mohammad Karim Sohrabi

In Economics and Econometrics

1. Mathias Kraus
2. Fatemeh Hemmatian
3. Stefan Feuerriegel
4. Mohammad Karim Sohrabi

In Management Science and Operations Research

1. Mathias Kraus
2. Fatemeh Hemmatian
3. Stefan Feuerriegel
4. Mohammad Karim Sohrabi
5. Longbing Cao
6. Dogu Araci

Citations in the corpus

• Decision support from financial disclosures with deep neural networks and transfer learning (2017, background): “Here a financial decision support system can greatly facilitate the decision-making of investors subsequent to the disclosure of financial statements [6, 7, 8, 9, 10, 11].”
• A survey on classification techniques for opinion mining and sentiment analysis (2017, background): “Among the studies representing the application of the opinion mining in the stock market it can be pointed out to (Bollen et al. 2011; Nofer and Hinz 2015; Bing et al. 2014; Fortuny et al. 2014) that the opinions have been used to predict the stock market.”