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Renouf, A.: Making sense of text : automated approaches to meaning extraction (1993)
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- Imprint
- Oxford : Learned Information
- Source
- Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
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- a
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Smith, P.J.; Normore, L.F.; Denning, R.; Johnson, W.P.: Computerized tools to support document analysis (1994)
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- Imprint
- Medford, NJ : Learned information
- Type
- a
-
Short, M.: Text mining and subject analysis for fiction; or, using machine learning and information extraction to assign subject headings to dime novels (2019)
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- Abstract
- This article describes multiple experiments in text mining at Northern Illinois University that were undertaken to improve the efficiency and accuracy of cataloging. It focuses narrowly on subject analysis of dime novels, a format of inexpensive fiction that was popular in the United States between 1860 and 1915. NIU holds more than 55,000 dime novels in its collections, which it is in the process of comprehensively digitizing. Classification, keyword extraction, named-entity recognition, clustering, and topic modeling are discussed as means of assigning subject headings to improve their discoverability by researchers and to increase the productivity of digitization workflows.
- Type
- a
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Taylor, S.L.: Integrating natural language understanding with document structure analysis (1994)
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- Abstract
- Document understanding, the interpretation of a document from its image form, is a technology area which benefits greatly from the integration of natural language processing with image processing. Develops a prototype of an Intelligent Document Understanding System (IDUS) which employs several technologies: image processing, optical character recognition, document structure analysis and text understanding in a cooperative fashion. Discusses those areas of research during development of IDUS where it is found that the most benefit from the integration of natural language processing and image processing occured: document structure analysis, OCR correction, and text analysis. Discusses 2 applications which are supported by IDUS: text retrieval and automatic generation of hypertext links
- Type
- a
