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Documentary analysis (also document analysis) is a type of qualitative research in which documents are reviewed by the analyst to assess an appraisal theme. Dissecting documents involves coding content into subjects like how focus group or interview transcripts are investigated. A rubric can likewise be utilized to review or score a document ...
The following are a few examples of pre-determined text passages that have been used to obtain request exemplars. The text may be used exactly as shown here or modified to incorporate specific words or letter combinations that match the text of the questioned document. The London Letter Our London business is good, but Vienna and Berlin are ...
Retrieved from "https://en.wikipedia.org/w/index.php?title=Document_analysis&oldid=772876470"This page was last edited on 29 March 2017, at 21:40
Document review (also known as doc review), in the context of legal proceedings, is the process whereby each party to a case sorts through and analyzes the documents and data they possess (and later the documents and data supplied by their opponents through discovery) to determine which are sensitive or otherwise relevant to the case. [1]
OCRopus is a free document analysis and optical character recognition (OCR) system released under the Apache License v2.0 with a very modular design using command-line interfaces. OCRopus is developed under the lead of Thomas Breuel from the German Research Centre for Artificial Intelligence in Kaiserslautern, Germany and was sponsored by Google.
A check sheet is a form (document) used to collect data in real time at the location where the data is generated. The data it captures can be quantitative or qualitative.When the information is quantitative, the check sheet is sometimes called a tally sheet.
The framework helps to direct the search for deep knowledge, providing structure to the document analysis process, particularly for the domain novice. While the output may initially appear overbearing, its value to the analysis cannot be overstated. The abstraction hierarchy defines the systemic constraints at the highest level.
It is about character and symbol recognition, printed/handwritten text recognition, graphics analysis and recognition, document analysis, document understanding, historical documents and digital libraries, document based forensics, camera and video based scene text analysis. [1]