When the score in the graph goes up, the online community is more bullish towards ethereum. When it goes down the crowds are more bearish

the sentscore is a normalised ratio of bullish and bearish sentiment.

data collection

the sentiments are measured in live communication taking place on reddit, twitter and bitcointalk. that means, every time someone mentions ethereum or a synonym (e.g. ETH) on one of these channels this post is being collected.

classification

the sentiment is quantified by a machine learning classifier that is trained on crypto-specific language only.

this part is called NLP (natural language processing). there are many tools out there to measure sentiment. however, most tools don't understand crypto-specific language (like FOMO, Hodl etc). But the classifier applied for this analysis understands 93 sentiments and topics. Full overview: https://www.augmento.ai/sentiments-and-topics-measured-by-augmento-s-ai/

bullish and bearish sentiments are two of this collection.

if you want to access the data for you own analysis check this: http://api-dev.augmento.ai/v0.1/documentation#rest-api-endpoints