Deep learning is leveraged to mine evidences from large scale textual data, which contain valuable market information.
distributed word similarities trained over large scale raw texts are taken as a basis of relevance measuring, and deep reinforcement learning is leveraged to learn a strategy of topic expansion, given a small amount of manually labeled data from financial analysts.