基于TF-IDF方法的文本人物群体人格分析方法
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摘要
人物群体人格分析的社会需求日益迫切。提出一种基于TF-IDF方法的文本人物群体人格分析方法。通过模拟情景对志愿者做调查获取数据,再分别使用VSM技术、PCA技术、Wavelet技术提取志愿者的文本特征,得到三个特征空间。在三个空间里使用KNN分类方法获得九型人格分类的候选项,综合候选项获得志愿者们的人格判别分布。实验表明,该方法不但判别速度相较人类专家分类有了很大地提升,而且具有相当的可信度参考价值。这对未来人物群体人格分析会产生较大的影响。
The social demands of character group personality analysis are more and more urgent. We proposed a personality analysis method of text character group based on TF-IDF. Volunteers were surveyed by simulating scenarios to obtain data. We adopted VSM, PCA and Wavelet technology to extract the text features of volunteers and got three feature spaces. KNN classification method was applied in three spaces to obtain the candidate for nine personality classification. Considering the candidate, we got the personality discriminant distribution of volunteers. Experimental results show that this method not only has a great improvement in discriminating speed compared with human expert classification, but also has considerable credibility and reference value. It has a great impact on the personality analysis of future characters.
The social demands of character group personality analysis are more and more urgent. We proposed a personality analysis method of text character group based on TF-IDF. Volunteers were surveyed by simulating scenarios to obtain data. We adopted VSM, PCA and Wavelet technology to extract the text features of volunteers and got three feature spaces. KNN classification method was applied in three spaces to obtain the candidate for nine personality classification. Considering the candidate, we got the personality discriminant distribution of volunteers. Experimental results show that this method not only has a great improvement in discriminating speed compared with human expert classification, but also has considerable credibility and reference value. It has a great impact on the personality analysis of future characters.
引文
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[12] 李建林.一种基于PCA的组合特征提取文本分类方法[J].计算机应用研究,2013,30(8):2398-2401.
[2] 刘博.情景模拟法在人力资源管理专业中的应用[J].管理观察,2014(6):126,128.
[3] 覃侯健.情景教学法在财务会计教学中的应用[J].南方农机,2018,49(14):232-234.
[4] Sutton A,Allinson C,Williams H.Personality type and work-related outcomes:An exploratory application of the Enneagram model[J].European Management Journal,2013,31(3):234-249.
[5] 韩文凤.九型人格测试模型构建及系统实现[D].南京:南京航空航天大学,2014.
[6] Pervin,Lawrence.Personality Psychology:Current Status and Prospects For the Future[J].Polish Psychological Bulletin,2008,39(4):171-177.
[7] 柴佳.浅谈九型人格论在高校教育中的作用[J].科教导刊,2012(13):77-78.
[8] Muneesawang P,Zhang N,Guan L.Interactive Mobile Visual Search and Recommendation at Internet Scale[M].Springer International Publishing,2014.
[9] 路永和,梁明辉.遗传算法在改进文本特征提取方法中的应用[J].现代图书情报技术,2014(4):48-57.
[10] 赵妙颖,许刚.基于经验小波变换的变压器振动信号特征提取[J].电力系统自动化,2017,41(20):63-69.
[11] 严哲.“九型人格”视阈下的人格假设对工作绩效的预测力分析[J].现代情报,2013,33(3):24-28,32.
[12] 李建林.一种基于PCA的组合特征提取文本分类方法[J].计算机应用研究,2013,30(8):2398-2401.