What is spaCy’s approach to sentiment analysis and how does it compare to other libraries? spaCy is a popular library for natural language processing in Python.

If you’ve spent any time on Twitter, you know that tweets can be snarky, informative, nonsensical, hilarious, and sometimes provocative. This is the “sentiment” of the Twittersphere. What ...

“Most Twitter sentiment analysis to date has been post-hoc, providing assessment of political sentiment days or weeks after an event, and often based on a sample of tweets.

Or stick to Discord. Or run your own Twitter sentiment analysis program. The Twitter sentiment analysis will only be available to S&P Global Public data subscribers.

For now, the sentiment analysis uses only Twitter, but Thomson Reuters is working on adding more content sources, including blogs, in the future.

S&P Dow Jones Indices is launching the S&P 500 Twitter Sentiment Index, which aims to use the Twitter API to track S&P 500 components that are trending in sentiment.