Osoba, 2015 - Google Patents
Information Extraction for Road Accident DataOsoba, 2015
View PDF- Document ID
- 9724361211277516130
- Author
- Osoba O
- Publication year
- Publication venue
- The University of Manchester, Master's Dissertation
External Links
Snippet
The era of big data has made it extremely crucial to have systems that can extract relevant information from the vast amount of data available in the world. This is due to the ever- increasing quantity of data that is being generated on a daily basis which existing systems …
- 238000000605 extraction 0 title abstract description 124
Classifications
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- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
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- G06F17/2765—Recognition
- G06F17/277—Lexical analysis, e.g. tokenisation, collocates
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- G06F17/2715—Statistical methods
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- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
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- G06F17/30716—Browsing or visualization
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- G06F17/30386—Retrieval requests
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- G—PHYSICS
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- G06Q10/00—Administration; Management
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