Sentiment-Analysis Investment Algorithm

Sentiment analysis is the process of assessing the opinions expressed in a text computationally. Using sentiment data from web articles that contain information about specific stocks and interpreting how they affect stock prices using a machine-learning algorithm, increased yields can be achieved. Real-time tracking of articles that are published and their sentiment data can provide insight on when to invest in a certain stock. I've created a program in python that retrieves the data of a stock and stores it in a CSV file. Articles are sorted based on publish date. Sentiment data is displayed along the data to visualize the trend. I haven't created the real-time tracking system, it is planned for the future.