Text mining in bioinformatics: past, present and future
The peer-reviewed articles and textual data are main source of data in biology. Text mining is solution to extract information from textual data sources that are usually in bulky quantities, messy and disorganized. Dealing with this situation needs to deploy innovative methods and techniques. In thi...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68794/1/Text%20mining%20in%20bioinformatics%20past%2C%20present%20and%20future.pdf |
| _version_ | 1825933596879224832 |
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| author | Faiiazee, Hadee Syed Mohamed, Syed Abdul Rahman Al-Haddad Abdullah, Rusli Samsudin, Khairulmizam |
| author_facet | Faiiazee, Hadee Syed Mohamed, Syed Abdul Rahman Al-Haddad Abdullah, Rusli Samsudin, Khairulmizam |
| author_sort | Faiiazee, Hadee |
| collection | UPM |
| description | The peer-reviewed articles and textual data are main source of data in biology. Text mining is solution to extract information from textual data sources that are usually in bulky quantities, messy and disorganized. Dealing with this situation needs to deploy innovative methods and techniques. In this paper, we identify the current heavily used methods for biomedical text mining, their capabilities and developments, some proposed solution and how to evaluate performance. Biomedical specific challenges in text mining context have been studied with respect to proposed answers and then main future trends based on current needs and requirements have been discussed. |
| first_indexed | 2024-03-06T09:59:47Z |
| format | Conference or Workshop Item |
| id | upm.eprints-68794 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:59:47Z |
| publishDate | 2012 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-687942019-06-10T03:43:40Z http://psasir.upm.edu.my/id/eprint/68794/ Text mining in bioinformatics: past, present and future Faiiazee, Hadee Syed Mohamed, Syed Abdul Rahman Al-Haddad Abdullah, Rusli Samsudin, Khairulmizam The peer-reviewed articles and textual data are main source of data in biology. Text mining is solution to extract information from textual data sources that are usually in bulky quantities, messy and disorganized. Dealing with this situation needs to deploy innovative methods and techniques. In this paper, we identify the current heavily used methods for biomedical text mining, their capabilities and developments, some proposed solution and how to evaluate performance. Biomedical specific challenges in text mining context have been studied with respect to proposed answers and then main future trends based on current needs and requirements have been discussed. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68794/1/Text%20mining%20in%20bioinformatics%20past%2C%20present%20and%20future.pdf Faiiazee, Hadee and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Abdullah, Rusli and Samsudin, Khairulmizam (2012) Text mining in bioinformatics: past, present and future. In: 2012 International Conference on Information Retrieval & Knowledge Management (CAMP'12), 13-15 Mar. 2012, Kuala Lumpur, Malaysia. (pp. 327-330). 10.1109/InfRKM.2012.6205000 |
| spellingShingle | Faiiazee, Hadee Syed Mohamed, Syed Abdul Rahman Al-Haddad Abdullah, Rusli Samsudin, Khairulmizam Text mining in bioinformatics: past, present and future |
| title | Text mining in bioinformatics: past, present and future |
| title_full | Text mining in bioinformatics: past, present and future |
| title_fullStr | Text mining in bioinformatics: past, present and future |
| title_full_unstemmed | Text mining in bioinformatics: past, present and future |
| title_short | Text mining in bioinformatics: past, present and future |
| title_sort | text mining in bioinformatics past present and future |
| url | http://psasir.upm.edu.my/id/eprint/68794/1/Text%20mining%20in%20bioinformatics%20past%2C%20present%20and%20future.pdf |
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