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Wiley Applied Computational Intelligence and Soft Computing Volume 2024, Article ID 7599415, 15 pages https://doi.org/10.1155/2024/7599415Research Article Document Information Extraction: An Analysis
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Document information extraction is the process of automatically identifying and extracting relevant data and information from various document formats using technologies such as machine learning, optical character recognition (OCR), and natural language processing.
Individuals, businesses, and organizations that engage in activities requiring the filing of specific documents mandated by regulatory bodies or legal agreements are typically required to file document information extraction.
To fill out document information extraction, one must provide accurate details as required by the relevant authority, ensuring all necessary sections are completed, and submit any required supporting documents as per the specific guidelines.
The purpose of document information extraction is to enhance data accuracy, streamline processing times, reduce human error, and improve overall efficiency in information management by automating the data extraction process.
Information that must be reported includes the names of involved parties, dates, transaction details, and any other relevant data as specified by the regulating body or requirements of the document in question.
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