Share Market Application Using Machine Learning

Speculating on stock market fluctuations is a well-known problem of interest. Social media does an excellent job of capturing public mood and opinion regarding recent developments in the stock market. An intriguing area of study has been stock market forecasting using Parallel Dots’ natural language processing API. This project’s goal is to assess how successfully stock price fluctuations for a firm are being tracked. The increases and decreases are tied to how the general public feels about the firm as reported in the news. Here, I have used the Parallel Dots Natural Language Processing API and sentiment analysis.