Multilevel analysis for the frequency of the investigated words in the monitored years in terms of sentiment: a) Negative, b) Positive, c) Neutral.

Multilevel analysis for the frequency of the investigated words in the monitored years in terms of sentiment: a) Negative, b) Positive, c) Neutral.

<p>Multilevel analysis for the frequency of the investigated words in the monitored years in terms of sentiment: a) Negative, b) Positive, c) Neutral.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Anna Pilková (11614114) (author)
مؤلفون آخرون:	Michal Munk (10344610) (author), Lívia Kelebercová (21864013) (author)
منشور في:	2025
الموضوعات:	Medicine Microbiology Ecology Sociology Science Policy Biological Sciences not elsewhere classified stakeholder behaviour towards pillar 3 framework pillar 3 disclosures multilevel comparison revealed mandatory disclosures mandated global null hypothesis basel iii ’ adjusted univariate results 2007 − 2022 modelling financial distress additional regulatory reports extracted keywords using include sentiment information div >< p collected document chapter positive sentiment dominated selected commercial bank learning based approaches important communication tool global financial crisis 0000 significant level extract meaningful keywords important keywords positive sentiment statistical approaches significant impact financial texts commercial bank annual reports sentiment category sentiment analysis neutral sentiment negative sentiment words labelled textual data study explores speech tagging specially designed select noun research points primary objective phrases ), p </ mcdonald lexicon keyword extraction investment decisions hybrid model financial stability examined documents communication patterns
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