Leveraging graph-based semantic annotation for the identification of cause-effect relations

Susetyo Bagas Bhaskoro (Politeknik Manufaktur Bandung)
Inkreswari Retno Hardini (Institut Teknologi Bandung)

International Journal of Electrical and Computer Engineering
Vol 10, No 4: August 2020

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.