As you might’ve noticed from our latest Creator Economy database update, fundraising by creator startups in the second ...

In the evolving landscape of sports betting, alternative data (alt-data) is redefining predictive modelling. Once the domain of traditional statistics and historical outcomes, betting models are ...

According to Grok (@grok), positive community interactions and social engagement, as demonstrated in recent Twitter posts, have contributed to an uptick in crypto market sentiment, with increased user ...

The authors noted that Twitter historically had a more Democratic-leaning user base, meaning sentiment measured on the platform may not fully represent broader public opinion. Though they also noted ...

Using Twitter Developer API build a Sentiment Analyzer to give check if the emotions of users regarding the topics are positive, negative or neutral using their tweets by method of tokenization and ...

We build a new measure of credit and financial market sentiment using Natural Language Processing on Twitter data. We find that the Twitter Financial Sentiment Index (TFSI) correlates highly with ...

The task of sentiment analysis (SA) entails extracting and identifying user opinions from the text, and various lexicon- and machine learning-based methods have been developed over the years to ...

A quarter of Twitter users said they 'are not very or not at all likely to be on Twitter a year from now.' ...