Survey on Text Mining Based on Social Media Comments as Big Data Analysis Using Genetic Algorithm
Journal Title: International Journal of Modern Research In Engineering & Management. - Year 2018, Vol 1, Issue 9
Abstract
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. The performance of the country will be upgrade from the public opinion about the tax. The opinion of the public will be considered as a data for the growth of the nation. Text mining can be used to know public opinion about the tax system. The rapid growth of data in social media initiates the researchers to use the data source as big data analysis. The dataset used is derived from Face book, Twitter public sentiment in part of service, website system, and news can be used as consideration as a input of tax comments. In this paper, text mining is done through the phases of text processing, feature selection and classification with genetic algorithm (GA). Efficient framework is used for pre-processing the data. Testing is used to measure the performance level of GA by using the evaluation metrics such as purity, entropy and F-measure.
Authors and Affiliations
Brijesh Kumar,
Keywords
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