GitHub repository: DeepakT7/Predicting-Stock-Movements-using-News-Headlines-and-News-Articles
Primary language: Jupyter Notebook
Description: The main objective of the system is to analyse the future value of a certain stock of a particular company using the sentiment analysis and to predict whether a particular stock will go up that is whether it will increase or it will go down which means it will decrease on the basis of certain news headline, also detection of fake news and OCR was implemented for providing the user as an option for entering the news headline or a news article, the data we used was DJIA news headlines dataset and five different machine learning algorithms were used – Random Forest classifier, Naïve Bayes, Decision Tree, Logistic Regression and Support Vector Machine(SVM).