Leveraging graph-based semantic annotation for the identification of cause-effect relations
| Autor: | Inkreswari Retno Hardini, Susetyo Bagas Bhaskoro |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Semantic annotation
Phrase General Computer Science Recall Computer science business.industry Causal Feature selection computer.software_genre Medical element annotation Paragraph annotation Phrase annotation Annotation Naive Bayes classifier Graph (abstract data type) Artificial intelligence Electrical and Electronic Engineering Paragraph business computer Natural language processing |
| Zdroj: | International Journal of Electrical and Computer Engineering (IJECE). 10:4352 |
| ISSN: | 2722-2578 2088-8708 |
| Popis: | This research is related to language article in Indonesia that discuss about causality relationship research used as public health surveillance information monitoring system. Utilization of this research is suitability of feature selection, phrase annotation, paragraph annotation, medical element annotation and graph-based semantic annotation. Evaluation of system performance is done by intrinsic approach using the Naive Bayes Multinomial method. The results obtained sequentially for recall, precision and f-measure are 0.924, 0.905, and 0.910. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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