ParaBTM: A Parallel Processing Framework for Biomedical Text Mining on Supercomputers
A prevailing way of extracting valuable information from biomedical literature is to apply text mining methods on unstructured texts. However, the massive amount of literature that needs to be analyzed poses a big data challenge to the processing efficiency of text mining. In this paper, we address...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-04-01
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| Series: | Molecules |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1420-3049/23/5/1028 |