Investment strategy and predicting technique appeared to analyze pattern of stock market to get economic gain. However, predicting the flow of stock index is quite difficult because stock market contains uncertain factors. To overcome this problem, varieties of methodology is going along. And with ‘big data’, varieties of atypical data come out with social media. Therefore, in this research paper we predicted fluctuation of stock price with using ‘News data’. We used morpheme analysis and sentimental analysis to make digitalize it. Next with this data we applied machine learning and made predicting model. Finally, we got prediction rate and F1 score.
Stock Prediction and Prediction Accuracy Improvement using Sentiment Analysis and Machine Learning based on Online News
4 Views
3 Downloads