Analyzing Going Concern Disclosures in Statutory Financial Statements Through Text Mining: The Case of General Electric

Georgi Hristov

Цб II 94097

Детайли

Източник

Accounting, Digitalisation,Sustainability - Science and Practice : Vol. I - II : International Scientific Conference 105th Anniversary of the Department of Accounting and Analysis

Издателство

Academic Publishing House - UNWE;

Година на издаване

2025

Страници

442-456

Класификационен индекс

УДК	Значение
657	Счетоводство

Том

Volume II

Ключови думи

US GAAP, IFRS (Международни стандарти за финансово отчитане)

Допълнителна информация

Системен №: 119728
Тематични рубрики: Счетоводство. Контрол. Финансово-стопански анализ
Предметни рубрики: Счетоводство - УНСС - конференция

Действия

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APA Chicago / Turabian (16th edition) Harvard MLA (7th edition) Vancouver

Hristov, G. Analyzing Going Concern Disclosures in Statutory Financial Statements Through Text Mining: The Case of General Electric. Academic Publishing House - UNWE;, 2025 442-456,.

Hristov, G. (2025) Analyzing Going Concern Disclosures in Statutory Financial Statements Through Text Mining: The Case of General Electric, Academic Publishing House - UNWE; 442-456,.

Hristov, G. (2025). Analyzing Going Concern Disclosures in Statutory Financial Statements Through Text Mining: The Case of General Electric. Accounting, Digitalisation,Sustainability - Science and Practice : Vol. I - II : International Scientific Conference 105th Anniversary of the Department of Accounting and Analysis, Academic Publishing House - UNWE; Volume II 442-456.

Hristov G. Analyzing Going Concern Disclosures in Statutory Financial Statements Through Text Mining: The Case of General Electric. Accounting, Digitalisation,Sustainability - Science and Practice : Vol. I - II : International Scientific Conference 105th Anniversary of the Department of Accounting and Analysis. 2025; Volume II: 442-456.