Investors have always been interested in stock price forecasting. Since the development of electronic media, hundreds pieces of financial news are released on different media every day. There were many previous related researches discussed whether the stock price forecasting through text mining technology and machine learning could lead to abnormal returns. However, few of them involved the discussion on whether using different media could affect forecasting results. This research focuses on the influence of using different financial resources to investment and how to improve the accuracy of forecasting through deep learning. The result shows various financial resources have significantly different effects to investors and their investments, while the accuracy of news categorization could be improved through deep learning.