It used to take days for financial news to spread via radio, newspapers, and word of mouth. Now, in the age of the internet, it takes seconds. Did you know news articles are automatically being generated from figures and earnings call streams? In this project, you will generate investing insight by applying sentiment analysis on financial news headlines from Finviz. Using this natural language processing technique, you will understand the emotion behind the headlines and predict whether the market feels good or bad about a stock.
This project lets you apply the skills from Intermediate Python for Data Science, Manipulating DataFrames with pandas, and Natural Language Processing Fundamentals in Python. We recommend that you take those courses before starting this project. Familiarity with the Beautiful Soup package may also be helpful.
Director Data Science at multilayer.io
I am a scientist in the private sector. I do not like the data scientist title much though. What kind of scientist does not use data? I worked in genomics, video games and now fintech.See More