AIS Electronic
By Sc-A Chen, Robert P. Schumaker, Hsinchun Chen
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Xiaodong Li
- Takashi Matsubara
- Jingjing Cao
- Haoran Xie
- Xiaotie Deng
- Hsinchun Chen
- Ryo Akita
- Tomer Geva
Citations in the corpus
- Stock Price Prediction by Deep Neural Generative Model of News Articles (2018, methodology): “, support vector machines (SVMs) [3], [4], [9], [10] and multilayer perceptrons (MLPs) [11]–[14].”
- Empirical analysis: stock market prediction via extreme learning machine (2014, methodology): “Following many previous works [1, 10, 31, 32], we keep the relatively more representative words, such as adjectives, nouns and verbs etc.”
- Empirical evaluation of an automated intraday stock recommendation system incorporating both market data and textual news (2014, methodology): “The BOW approach is a popular approach for representing textual data and has been employed in various related studies such as [20,23,32,41,42,49].”
- A quantitative stock prediction system based on financial news (2009, methodology): “In a comparison study using these four representational techniques, it was found that Proper Noun representation was more effective in symbolizing financial news articles (Schumaker & Chen, 2006).”