Identification of Hypertension Treatment Using Linguistic
Abstract
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.
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