التفاصيل البيبلوغرافية
| العنوان: |
Sentiment analysis results. |
| المؤلفون: |
Sara Grøn Perlstein (11014215), Marc Verboord (11014218) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Molecular Biology, Ecology, Sociology, Cancer, Science Policy, Biological Sciences not elsewhere classified, COVID -19 outbreak, COVID -19 pandemic, government containment strategies, crisis responses, trust, strategy, topic modeling analysis, finding |
| الوصف: |
Includes results of the sentiment analysis including sample sizes before and after cleaning, average positive score (APS) with standard deviance, average negative score (ANS) with standard deviance, and sentiment tables (Figs) A-0 through -D3, which portray the distributions of tweets by sentiment score per country per phase. (PDF) |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| العلاقة: |
https://figshare.com/articles/journal_contribution/Sentiment_analysis_results_/14829894Test |
| DOI: |
10.1371/journal.pone.0253175.s005 |
| الإتاحة: |
https://doi.org/10.1371/journal.pone.0253175.s005Test |
| حقوق: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.6B78163A |
| قاعدة البيانات: |
BASE |
