An Approach to Managing and Organizing Text Documents Using Intelligent Text Analysis
Regarding the fact that stored data occupies a large space in organizations and retention systems and information management that has been resulted in gigantic data warehouses, the need for extracting an appropriate model is felt increasingly. Text mining is one of the most significant methods for e...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
Iranian Research Institute for Information and Technology
2017-09-01
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| Series: | Iranian Journal of Information Processing & Management |
| Subjects: | |
| Online Access: | http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-3589-1&slc_lang=en&sid=1 |
| _version_ | 1819294498781396992 |
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| author | Azamsadat parei hodjat hamidi |
| author_facet | Azamsadat parei hodjat hamidi |
| author_sort | Azamsadat parei |
| collection | DOAJ |
| description | Regarding the fact that stored data occupies a large space in organizations and retention systems and information management that has been resulted in gigantic data warehouses, the need for extracting an appropriate model is felt increasingly. Text mining is one of the most significant methods for extracting a useful and appropriate model that helps organizations in achieving their goals through extraction and adaption of knowledge out of data sets. Those methods allow for a new horizon for trading and protecting intellectual property of authors’ works. In this paper, a new approach is needed to decipher the text patterns to organize an intelligent text analysis. The main purpose of the paper is applying a proper method of preserving the works of writers, scholars and text documents. Regarding the number of those works and documentary management systems the size of available data has been increased considerably. In order to uncover the implicit knowledge out of this data with considerable usefulness for users a specific method is required that has been practiced in the data mining field. Much of this available data is unstructured or semi-structured text which one can use it in addition to data mining methods, technologies such as natural language processing, intelligent analysis and Science Statistics used. |
| first_indexed | 2024-12-24T04:27:17Z |
| format | Article |
| id | doaj.art-f7419e35e82d445c8dea80bb345b7592 |
| institution | Directory Open Access Journal |
| issn | 2251-8223 2251-8231 |
| language | fas |
| last_indexed | 2024-12-24T04:27:17Z |
| publishDate | 2017-09-01 |
| publisher | Iranian Research Institute for Information and Technology |
| record_format | Article |
| series | Iranian Journal of Information Processing & Management |
| spelling | doaj.art-f7419e35e82d445c8dea80bb345b75922022-12-21T17:15:34ZfasIranian Research Institute for Information and TechnologyIranian Journal of Information Processing & Management2251-82232251-82312017-09-0132411711202An Approach to Managing and Organizing Text Documents Using Intelligent Text AnalysisAzamsadat parei0hodjat hamidi1 K. N. Toosi University of Technology K. N. Toosi University of Technology Regarding the fact that stored data occupies a large space in organizations and retention systems and information management that has been resulted in gigantic data warehouses, the need for extracting an appropriate model is felt increasingly. Text mining is one of the most significant methods for extracting a useful and appropriate model that helps organizations in achieving their goals through extraction and adaption of knowledge out of data sets. Those methods allow for a new horizon for trading and protecting intellectual property of authors’ works. In this paper, a new approach is needed to decipher the text patterns to organize an intelligent text analysis. The main purpose of the paper is applying a proper method of preserving the works of writers, scholars and text documents. Regarding the number of those works and documentary management systems the size of available data has been increased considerably. In order to uncover the implicit knowledge out of this data with considerable usefulness for users a specific method is required that has been practiced in the data mining field. Much of this available data is unstructured or semi-structured text which one can use it in addition to data mining methods, technologies such as natural language processing, intelligent analysis and Science Statistics used.http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-3589-1&slc_lang=en&sid=1Text Search Text Management Intellectual Property Information Extraction Data Mining |
| spellingShingle | Azamsadat parei hodjat hamidi An Approach to Managing and Organizing Text Documents Using Intelligent Text Analysis Iranian Journal of Information Processing & Management Text Search Text Management Intellectual Property Information Extraction Data Mining |
| title | An Approach to Managing and Organizing Text Documents Using Intelligent Text Analysis |
| title_full | An Approach to Managing and Organizing Text Documents Using Intelligent Text Analysis |
| title_fullStr | An Approach to Managing and Organizing Text Documents Using Intelligent Text Analysis |
| title_full_unstemmed | An Approach to Managing and Organizing Text Documents Using Intelligent Text Analysis |
| title_short | An Approach to Managing and Organizing Text Documents Using Intelligent Text Analysis |
| title_sort | approach to managing and organizing text documents using intelligent text analysis |
| topic | Text Search Text Management Intellectual Property Information Extraction Data Mining |
| url | http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-3589-1&slc_lang=en&sid=1 |
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