Abstract: News has always been an important source of information to build perception of market investments. As the volumes of news and news sources are increasing rapidly, it is becoming impossible for an investor or even a group of investors to find out relevant news from the big chunk of news available. This forecasts real time news sentiment that reflects stock price movement trends. The aim is to create a headline scraping algorithm for sentiment analysis, choosing the most advanced and accurate algorithm for classification, and integrating the models in a single application.
Keywords: API, GUI, News Sentiment, Prediction Model
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DOI:
10.17148/IJARCCE.2022.111209
[1] Dr. (Mrs.) S.R. Khonde, Adarsha Masalkar, Tejas Upase ,Mayur Bhoyar,Viraj Nikam, "Stock Data Prediction And Sentiment Analysis using Financial News Headlines," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.111209
