履歷內容當中通常包含學歷、技能、人格特質等資訊。對企業組織而言，要從大量求職履歷當中找出符合職務條件的候選人，是一項耗時且高成本的工作。本論文透過所建立的字典，結合文字探勘、自然語言處理技術，對於履歷文本進行分析，取得履歷與職務之間的關聯程度值。接著，結合關聯程度、學歷及多元資訊，打造「視覺化人才履歷篩選互動面板」，提供一個能依據職務需求快速篩選履歷，並且具備個人履歷人格特質及技能關鍵字標示的視覺化人才篩選工具，輔助使用者能快速且有效地聚焦於合適的候選人。

Resumes usually contain degree, major, skills, and personality information. It is a time-consuming and high-cost task for organizations to find candidates who meet the job requirements from many resumes. This paper analyzes the resume text through the keywords, combined with text mining and Natural Language Processing technology. It calculates the value of the correlation degree between the resume and the position and combines education and diverse information, creating a "Visual Talent Resume Screening Interactive Panel" to provide a visualize tool that can quickly filter resumes based on job requirements. At the same time, the panel helping users focus on the keywords of resumes and find suitable candidates quickly and efficiently.

第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的與限制 5
第二章 文獻探討 7
2.1 人格特質與人才甄選 7
2.2 人工智慧於人力資源領域的應用 10
2.2.1 招聘甄選 11
2.2.2 知識管理與培訓 12
2.2.3 人才發展與留才 13
2.3 文字探勘技術 15
2.3.1 文本特徵提取 15
2.3.2 自然語言處理 17
2.3.3 機器學習應用於文字探勘 20
第三章 研究方法 23
3.1 研究流程 23
3.2 建立資料集 25
3.3 JIEBA斷詞 30
3.4 人格特質與技能字典建立 31
3.4.1 人格特質字典建立 31
3.4.2 技能字典建立 32
3.5 學歷資料職務統計 32
3.6 職務履歷關聯分析 35
3.7 視覺化人才履歷篩選面板 39
第四章 研究分析及結果 41
4.1 基於學歷機率之職務分類工具 41
4.1.1 依據科系所之職務分類結果 42
4.1.2 綜合教育程度與科系所之職務分類結果 47
4.2 人格特質與技能標示 50
4.2.1 人格特質字典 50
4.2.2 技能字典 53
4.3 基於履歷文本之職務關聯程度分析工具 56
4.3.1 職務履歷關聯程度分析工具 57
4.3.2 綜合職務履歷關聯程度與學歷機率之分析工具 62
4.3.3 履歷人工分類與自動分類之效果比較 64
4.4 視覺化人才履歷篩選互動面板 66
4.4.1 視覺化人才履歷篩選互動面板說明 66
4.4.2 視覺化人才履歷篩選互動面板效果敘述性統計分析 71
第五章 研究結論與建議 77
5.1 研究結論 77
5.1.1 基於學歷機率之職務分類工具 77
5.1.2 人格特質與技能字典建立 78
5.1.3 基於履歷文本之職務關聯程度分析工具 79
5.1.4 視覺化人才履歷篩選互動面板 80
5.2 未來研究之建議 81
參考文獻 83

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