Sentiment (Positivity/Negativity) data for Blogs/Posts

[BradKML]

The common positivity/negativity of blogs and social media posts can be used to determine the writer's personality.
https://www.semanticscholar.org/paper/Analyzing-writing-styles-of-bloggers-with-different-Park-Li/7da1b3fd6195ae45a3bd021f391042e0ba365e2e

Here is some sentiment lexicon that can be used to find these patterns (in multiple languages):
English Lexicon: https://github.com/zengyan-97/Sentiment-Lexicon
Universal lexicon: https://github.com/ehsanasgari/UniSent
European Lexicon: https://github.com/opener-project/VU-sentiment-lexicon
Lexicon building: https://github.com/WladimirSidorenko/SentiLex
Lexicon Expansion: https://github.com/uhh-lt/LexiExp
Specific usage: https://github.com/williamleif/socialsent
https://github.com/SentometricsResearch/GWP
https://github.com/aesuli/SentiWordNet

Issue: what about OOV (outside-of-vocabulary) words?

[BradKML]

And there are also emotional lexicons https://github.com/JULIELab/MEmoLon