Analysis of job postings by text mining method and integration to geographic information systems in the context of government analytics

In information systems, data traffic increases day by day. With technology, data analysis needs and challenges vary, and areas such as big data and data analytics were born. The success of the analysis facilitates decision making. In this respect, the usage area of big data continues to increase with new analytical approaches and decision support systems are affected by these developments. Workforce analytics in the capital theories are researched in the field of human resources on a micro scale. In this topic, job advertisements be used in human resources analytics as big data. Accordingly, a government analytics framework can be created with a macro approach in terms of decision support in order to produce benefits in public policies, and analytics for human capital can be applied. In government analytics, many practices are performed abroad to produce social policies. Today, these data analytics approach that researchers are working with by social media analysis, is helping in the fields of political science and international relations. But new analytical models that can be developed from a macro point of view in public areas include employment, migration, population, urbanization, industrialization, education, etc. can provide decision support on issues. Job postings can contain valuable information, especially in understanding labor markets and employment policies. In this context, models used in human resource analytics for government analytics can be adapted. Job postings were analyzed with text mining and geographic information systems techniques used in the thesis study method and an experimental study has been conducted for the decision support system model in accordance with the macro policies created in this method. In the end, a new perspective has been brought to concepts such as government analytics and human resources analytics, and a different dimension has been gained by adapting new techniques in the models used. A hybrid decision support system has been exhibited that can guide big data research in the public spaces with text mining and geographic information system approaches. In addition, this research has developed a new perspective with its macro-level analysis in order to move its position to somewhere different in the multidisciplinary research of management information systems with the new analytical concepts it has revealed.