Based SVM Distinct Stages Framework Data Mining Technique Approach for Text Extraction

Authors: , ,

Abstract: Today, with high revolution on biomedical domain combined to data mining application, research on text application in the context of information extraction is becoming very essential. Biomedical publications are unstructured in nature, making it difficult to utilize data mining or knowledge discovery techniques to retrieve needed documents. This article introduce a based Support Vector Machine (SVM) Information Extraction from Biomedical domain by adopting the use of text mining framework. Three main structures ( Text gathering, Text Pre-processing, Data Analysis) are illustrated to give a input for the text Pre-processing phase. Finally by increasing the precision and recall rate of the information retrieval, good framework performances successfully retrieves the Biomedical documents.

WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 16, 2019, Art. #12

PDF
XML
Cite
×
Citation Tools
WSEAS AMA
Alshreef Abed, Jingling Yuan, Lin Li, "Based SVM Distinct Stages Framework Data Mining Technique Approach for Text Extraction," WSEAS Transactions on Information Science and Applications, vol. 16, pp. 100-110, 2019, DOI:
Alshreef Abed, Jingling Yuan, Lin Li. Based SVM Distinct Stages Framework Data Mining Technique Approach for Text Extraction. WSEAS Transactions on Information Science and Applications. 2019;16:100-110.
Copy to Clipboard
Citation copied to Clipboard

Certification

---