Technical assessment of metadata and OCR quality in Google Books corpusTechnical description of OCR tokenization rules for historical n‑gram corpus construction
Case Filekaggle-ho-017015House OversightTechnical description of Google Books filtering methodology
Unknown1p4 persons
Case File
kaggle-ho-017015House OversightTechnical description of Google Books filtering methodology
Technical description of Google Books filtering methodology The passage details internal data‑cleaning procedures for a book corpus and contains no references to influential actors, financial flows, or misconduct. It offers no actionable investigative leads. Key insights: Filters removed ~235,000 books based on language, OCR quality, and metadata.; Publication year restriction applied (1550‑2008) removed <2% of books.; Language identification uses metadata and the Popat algorithm.
Date
Unknown
Source
House Oversight
Reference
kaggle-ho-017015
Pages
1
Persons
4
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