Evaluating and understanding text-based stock price prediction models
作者:
Highlights:
• Several state-of-the-art stock prediction models are constructed.
• Different metrics for evaluating prediction models are discussed.
• Explanatory techniques are applied to gain insights into the model’s decisions.
摘要
•Several state-of-the-art stock prediction models are constructed.•Different metrics for evaluating prediction models are discussed.•Explanatory techniques are applied to gain insights into the model’s decisions.
论文关键词:Stock,Prediction,Support Vector Machine,Sentiment mining,Evaluation
论文评审过程:Received 18 September 2012, Revised 20 August 2013, Accepted 23 December 2013, Available online 31 January 2014.
论文官网地址:https://doi.org/10.1016/j.ipm.2013.12.002