20240028624. MULTI-WORD PHRASE BASED ANALYSIS OF ELECTRONIC DOCUMENTS simplified abstract (DOCUFREE CORPORATION)
Contents
MULTI-WORD PHRASE BASED ANALYSIS OF ELECTRONIC DOCUMENTS
Organization Name
Inventor(s)
John Frank Walsh of Rochester NY (US)
MULTI-WORD PHRASE BASED ANALYSIS OF ELECTRONIC DOCUMENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240028624 titled 'MULTI-WORD PHRASE BASED ANALYSIS OF ELECTRONIC DOCUMENTS
Simplified Explanation
The abstract describes a document processing system that can identify multi-word phrases in electronic documents and determine the document type based on the characteristics of these phrases.
- The system identifies multi-word phrases in electronic documents.
- It determines the document type based on the characteristics of these phrases.
- The identified multi-word phrases include adjacent words in the ordered text information.
- The document type is selected from a set of document types associated with a document-set type.
- The analysis of the multi-word phrases is based on a first definition and associated characteristics.
Potential Applications:
- Document categorization and organization
- Information retrieval and search optimization
- Content analysis and extraction
Problems Solved:
- Efficient identification and categorization of electronic documents
- Improved document processing and analysis
- Enhanced information retrieval and search accuracy
Benefits:
- Streamlined document management and organization
- Increased efficiency in information retrieval and analysis
- Improved accuracy and relevance of search results
Original Abstract Submitted
a document processing system is configured to identify, for each accessed electronic document in a first set of multiple electronic documents, a set of identified multi-word phrases determined to be in ordered text information in the accessed electronic document, each multi-word phrase of the set of identified multi-word phrases including adjacent words in the ordered text information; and determine, for each accessed electronic document in the first set of multiple electronic documents, a selected document type from the first set of document types based at least on an analysis of the set of identified multi-word phrases with respect to multi-word-phrase characteristics identified by a first definition and associated with each document type in a first set of document types associated with a first document-set type.
