COMPARATIVE STUDY OF USING WORD CO-OCCURRENCE TO DETERMINE SYMPTOMS FROM TEXTS
Journal Title: Topics in Economics, Business and Management (EBM) - Year 2017, Vol 1, Issue 1
Abstract
The research approach is to determine the symptom explanation from downloaded hospital documents to construct the semantic relations between disease-topic names and symptom explanation for enhancing the automatic problem-solving system. However, this paper aims to comparative study of using different word co-occurrence sizes as the two word co-occurrence and the N word co-occurrence on verb phrases to identify the symptom-concept sentences. We also use these word co-occurrences to determine the boundary of the consecutive symptom-concept sentences through the machine learning technique and the similarity-score determination. The research results provide the high precision of the symptom determination from the documents.
Authors and Affiliations
Chaveevan Pechsiri
Keywords
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- EP ID EP413027
- DOI 10.26480/icemi.01.2017.328.330
- Views 84
- Downloads 0
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