Finding 4559Emerging EvidenceValidation V0
A major study used advanced language models like ChatGPT, Claude, and Gemini to analyze sentiment in over 11,000 Japanese 10-K reports, covering 70 million words from 2014 to 2023.
78%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting78% linkage confidence
A major study used advanced language models like ChatGPT, Claude, and Gemini to analyze sentiment in over 11,000 Japanese 10-K reports, covering 70 million words from 2014 to 2023.
key_findings bullet 1 · key_findings
Inspect source: From words to returns: sentiment analysis of Japanese 10-K reports using advanced large language models →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.