Academic Journal

Large language models for newspaper sentiment analysis during COVID-19: The Guardian

التفاصيل البيبلوغرافية
العنوان: Large language models for newspaper sentiment analysis during COVID-19: The Guardian
المؤلفون: Chandra, Rohitash, Zhu, Baicheng, Fang, Qingying, Shinjikashvili, Eka
المصدر: Applied Soft Computing ; volume 171, page 112743 ; ISSN 1568-4946
بيانات النشر: Elsevier BV
سنة النشر: 2025
المجموعة: ScienceDirect (Elsevier - Open Access Articles via Crossref)
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1016/j.asoc.2025.112743
الاتاحة: https://doi.org/10.1016/j.asoc.2025.112743
https://api.elsevier.com/content/article/PII:S1568494625000547?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S1568494625000547?httpAccept=text/plain
Rights: https://www.elsevier.com/tdm/userlicense/1.0/ ; https://www.elsevier.com/legal/tdmrep-license ; http://creativecommons.org/licenses/by-nc/4.0/
رقم الانضمام: edsbas.61797F91
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.asoc.2025.112743