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The automatic detection method proposed in this study is based on techniques such as text semantic mining and machine learning to conduct personality type prediction on the target by collecting and analyzing the target's social media data. In the test, 5,858 statuses were obtained, 815 of which were labeled, with 122 effective tags. In general, when n = 5, the labeling rate can reach 60-80%. The status property classifier (SPC) proposed in this study can predict the personality type (PT) of the user publishing the status set with a high degree of accuracy by conducting text semantic mining on the status set.<\/jats:p>","DOI":"10.4018\/ijswis.2020010102","type":"journal-article","created":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T15:44:36Z","timestamp":1575647076000},"page":"25-46","source":"Crossref","is-referenced-by-count":11,"title":["A Status Property Classifier of Social Media User's Personality for Customer-Oriented Intelligent Marketing Systems"],"prefix":"10.4018","volume":"16","author":[{"given":"Tsung-Yi","family":"Chen","sequence":"first","affiliation":[{"name":"Nanhua University, Chiayi County, Taiwan"}]},{"given":"Yuh-Min","family":"Chen","sequence":"additional","affiliation":[{"name":"National Cheng Kung University, Tainan City, Taiwan"}]},{"given":"Meng-Che","family":"Tsai","sequence":"additional","affiliation":[{"name":"National Cheng Kung University, Tainan City, Taiwan"}]}],"member":"2432","reference":[{"key":"IJSWIS.2020010102-0","year":"2014"},{"key":"IJSWIS.2020010102-1","doi-asserted-by":"crossref","unstructured":"Adal\u0131, S., & Golbeck, J. 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