Document Analysis Task
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A Document Analysis Task is a document processing task that is an analysis task (extracts structured information).
- AKA: Document Mining Task.
- Context:
- Input: Document Collections (including text documents, structured documents, or multimedia documents).
- Output: Document Insights, Document Patterns, Document Classifications, Document Summarys (possibly in a document analysis report).
- Task Performance Measure: document analysis accuracy, information extraction precision, processing speed, completeness score
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- It can (typically) involve Document Analysis Elements, such as:
- It can require document structure decomposition through layout analysis.
- It can demand document pattern recognition in textual relationships.
- It can necessitate document content evaluation of semantic elements.
- It can involve document entity extraction through named entity recognition.
- It can involve Document Evidence Gathering through text mining methods.
- It can (typically) utilize Document Analysis Tools, such as:
- It can employ natural language processing systems for document text analysis.
- It can use optical character recognition systems for document digitization.
- It can leverage document parsing frameworks for structure identification.
- It can apply machine learning models for document classification.
- It can (often) study Document Structures, such as:
- It can examine document section relationships through hierarchical analysis.
- It can investigate document temporal patterns in versioned documents.
- It can explore document reference networks through citation analysis.
- It can analyze document metadata connections via attribute modeling.
- It can (often) provide detailed information that supports Document-Based Decision Tasks and Information Retrieval Tasks.
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- It can range from being a Single-Document Analysis Task to being a Multi-Document Analysis Task, depending on its document scope.
- It can range from being a Shallow Document Analysis Task to being a Deep Document Analysis Task, depending on its document analysis depth.
- It can range from being a Manual Document Analysis Task to being an Automated Document Analysis Task, depending on its document processing automation level.
- It can range from being a Structured Document Analysis Task to being an Unstructured Document Analysis Task, depending on its document format type.
- It can range from being a Domain-Specific Document Analysis Task to being a General Document Analysis Task, depending on its document domain coverage.
- It can range from being a Rule-Based Document Analysis Task to being an AI-Based Document Analysis Task, depending on its document analysis methodology.
- It can range from being a Syntactic Document Analysis Task to being a Semantic Document Analysis Task, depending on its document understanding level.
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- It can be instantiated in a Document Analysis Session and a Document Processing Pipeline.
- It can involve turning Unstructured Document Information into Structured Document Knowledge.
- It can be supported by tasks such as: Document Classification Tasks, Document Clustering Tasks, Document Summarization Tasks, and Document Entity Recognition Tasks.
- It can be performed by Document Analysts and Data Scientists.
- It can be supported by Document Analysis Systems and Document Processing Platforms.
- It can integrate with Document Management Systems for document retrieval.
- It can connect to Knowledge Base Systems for document insight preservation.
- It can interface with Content Management Platforms for document organization.
- It can contribute to Machine Learning Systems through document feature extraction.
- It can be guided by Document Analysis Frameworks for analysis methodology standardization.
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- Example(s):
- Document Analysis Task Types, such as:
- Text Document Analysis Tasks, such as:
- Natural Language Document Analysis Tasks, such as:
- Structured Text Document Analysis Tasks, such as:
- Multimedia Document Analysis Tasks, such as:
- PDF Document Analysis Tasks, such as:
- Web Document Analysis Tasks, such as:
- Text Document Analysis Tasks, such as:
- Domain-Specific Document Analysis Tasks, such as:
- Legal Document Analysis Tasks, such as:
- Contract Document Analysis Tasks, such as:
- Legal Case Document Analysis Tasks, such as:
- Medical Document Analysis Tasks, such as:
- Clinical Document Analysis Tasks, such as:
- Medical Literature Analysis Tasks, such as:
- Financial Document Analysis Tasks, such as:
- Financial Report Analysis Tasks, such as:
- Transaction Document Analysis Tasks, such as:
- Legal Document Analysis Tasks, such as:
- Technical Document Analysis Tasks, such as:
- Software Documentation Analysis Tasks, such as:
- Engineering Document Analysis Tasks, such as:
- Business Document Analysis Tasks, such as:
- Corporate Document Analysis Tasks, such as:
- Marketing Document Analysis Tasks, such as:
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- Document Analysis Task Types, such as:
- Counter-Example(s):
- an Image Analysis Task, which processes visual content rather than document content.
- a Video Analysis Task, which analyzes motion pictures rather than textual documents.
- an Audio Analysis Task, which examines sound recordings rather than written documents.
- a Database Analysis Task, which queries structured databases rather than analyzes document formats.
- a Document Creation Task, which generates new documents rather than analyzes existing documents.
- See: Analysis Task, Text Processing Task, Natural Language Processing, Information Extraction Task, Document Understanding, Content Analysis Task, Data Mining Task, Document Management System.
References
2020
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