Identification of Hypertension Treatment Using Linguistic

Muhammad Zaki Hassan (1), Shahreen Kasim (2), Mohanavali Sithambranathan (3), Nur Aniq Syafiq Rodzuan (4)
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Text mining is an obscure data or procedure to acquire data from the information that we have received. Text mining can combine


information from numerous sources. There are two techniques that have been used in text mining which is information extraction and


classification. For information extraction, RStudio is used. The method that RStudio uses is tm_map as a median to extract the term keyword.


For classification, Support Vector Machine (SVM) is used. Waikato Environment for Knowledge Analysis (WEKA) will act as a tool for


SVM to classify the treatment. There are many algorithms in WEKA that will give different results. Therefore, the purpose of this research is


to identify whether medical drug or natural remedy is the best treatment.