Realization of a news dissemination agent based on weighted association rules and text mining techniques
By Chenn-Jung Huang, Jia-Jian Liao, Dian-Xiu Yang, Tun-Yu Chang, Yun-Cheng Luo. 2010
35 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, 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
- Vadlamani Ravi
- Stefan Feuerriegel
- B. Shravan Kumar
- Saeed Reza Aghabozorgi
- Teh Ying Wah
- Mathias Kraus
- Arman Khadjeh Nassirtoussi
- David Chek Ling Ngo
In Information Systems
- Mathias Kraus
- Vadlamani Ravi
- B. Shravan Kumar
- Teh Ying Wah
- Arman Khadjeh Nassirtoussi
- David Chek Ling Ngo
- Saeed Reza Aghabozorgi
- Stefan Feuerriegel
In Management Science and Operations Research
- Vadlamani Ravi
- Stefan Feuerriegel
- B. Shravan Kumar
- Mathias Kraus
- Teh Ying Wah
- Arman Khadjeh Nassirtoussi
- David Chek Ling Ngo
- Saeed Reza Aghabozorgi
Citations in the corpus
- Decision support from financial disclosures with deep neural networks and transfer learning (2017, background): “The text source can come in various forms such as, e. g., headlines of news stories [19], the content of newspaper articles [20, 11, 21, 22, 23] or company-specific disclosures [24, 6].”
- Text mining for market prediction: A systematic review (2014, methodology): “, 2003) is SVM light (Joachims, 1999). SVM Light is an implementation of an SVM learner which addresses the problem of large tasks (Joachims, 1999). The optimization algorithms used in SVM Light are described in Joachims (2002). Another commonly used implementation of SVM is LIBSVM (Chang & Lin, 201”
- A survey of the applications of text mining in financial domain (2016, background): “To assist the investors in deciding to buy and sell stocks based on financial news headline Huang et al. (2010) proposed a model.”