Analysis of Legislative Candidate’s Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec

Every legislative candidate registered for the 2019 General Election must fill out a variety of information, including their electoral district, name, place of birth, party, occupation, status, and goals. It is crucial for motivation and goals to be made public. As a result, we use the Author-Topic Model and Node2vec to evaluate and display the themes modeling in the 2019 General Election data. Only 5.084 of the 36.889 legislative candidate records collected through data crawling from 16 parties include motive and target. While the objective topic modeling creates themes like the role of a legislative member, local development, and national movement, the motivation topic modeling generates topics like education, economics, and welfare. Several parties share similar topics in their target and motivations.