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Text Mining Based on Tax Comments as Big Data Analysis Using SVM and Feature Selection
متن کاوی براساس نکات مالیاتی به عنوان تجزیه و تحلیل داده های بزرگ با استفاده از SVM و انتخاب ویژگی-2018 The tax gives an important role for the
contributions of the economy and development of a country. The
improvements to the taxation service system continuously done in
order to increase the State Budget. One of consideration to know
the performance of taxation particularly in Indonesia is to know
the public opinion as for the object service. Text mining can be
used to know public opinion about the tax system. The rapid
growth of data in social media initiates this research to use the
data source as big data analysis. The dataset used is derived from
Facebook and Twitter as a source of data in processing tax
comments. The results of opinions in the form of public sentiment
in part of service, website system, and news can be used as
consideration to improve the quality of tax services. In this
research, text mining is done through the phases of text
processing, feature selection and classification with Support
Vector Machine (SVM). To reduce the problem of the number of
attributes on the dataset in classifying text, Feature Selection
used the Information Gain to select the relevant terms to the tax
topic. Testing is used to measure the performance level of SVM
with Feature Selection from two data sources. Performance
measured using the parameters of precision, recall, and Fmeasure.
Keywords: Text Mining; Tax Comments; Support Vector Machine; Feature Selection |
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