Sentiment analysis refers to the use of natural language processing, text analysis and computational linguistics to systematically identify, extract and quantify emotions and opinions expressed on social media and news.
Augmento uses sentiment analysis to determine how the crowd feels and thinks about cryptocurrencies.
Take the post below as an example:
“Casper is going to be great for Ethereum. It means it can’t be disrupted by governments coming after the miners. Right now if China cracks down on those huge ass mining warehouses using more electricity than most African countries, there could be huge backlogs in transactions as they shift to western countries. Casper does away with that uncertainty, it simply makes the technology much more government interferrence proof.”
In that post our algorithm identifies this emotion: Positive—and these topics: Regulation/Politics, Technology, Mining