Auxiliary part for the diploma, on the topic Language features of verbalization of emotions in the crisis media discourse of 2020-2021
The empirical material for this study was the headlines of news texts posted on such information resources as the Russian News Agency (hereinafter RIA Novosti) and Rosbusinessconsult (hereinafter RBC) in Russian.
In total, the empirical material amounted to 8,052 text headings of articles, of which 142 were taken from RBC, and 7910 from RIA Novosti.
The following marked-up lexicons were used.
- Productcenters, 2012 (https://www.semanticscholar.org/paper/Extraction-of-Russian-Sentiment-Lexicon-for-Product-Chetviorkin-Loukachevitch/e23b1430b3c4c4850db1336c5ba9c51c2084f29b?p2df)
- Emolex, 2013 (https://paperswithcode.com/paper/crowdsourcing-a-word-emotion-association)
- Chan-Skiena's Lexicon, 2014 (https://sites.google.com/site/datascienceslab/projects/multilingualsentiment)
- LinisCrowd, 2016 (http://www.linis-crowd.org/)
- RuSentiLex, 2017 (http://www.labinform.ru/pub/rusentilex/rusentilex_2017.txt)
- SentiRusColl, 2019 (https://github.com/kotelnikov-ev/SentiRusColl)
I hope for your attention and understanding. The code serves informational purposes and gives an idea of the overall picture of the study.