Great idea, I actually had this before. I was feeding the articles into google's natural language processing API to get a sentiment index from -1 to 1 (-1 negative, 0 neutral +1 positive). The issue I was having that it wasn't really that accurate. Google NPL has trouble analysing contextual news articles. e.g. if a headline says "Bubble in cryptocurrency markets", it doesn't recognise that bubble is negative in news contexts. I have been looking for some different NPL libraries that might be better including AWS Rekognition. I'm not a data scientist so don't think I'll do very well building my own machine learning algorithm. Any suggestions of good libraries people have used for news sentiment would be greatly appreciated