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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳鴻基 | |
| dc.contributor.author | Chun Tsai | en |
| dc.contributor.author | 蔡鈞 | zh_TW |
| dc.date.accessioned | 2021-06-17T07:23:14Z | - |
| dc.date.available | 2024-07-10 | |
| dc.date.copyright | 2019-07-10 | |
| dc.date.issued | 2019 | |
| dc.date.submitted | 2019-07-02 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/73222 | - |
| dc.description.abstract | 本研究的目的在探討線上協作平台中，領導者人格特質、會議情感、以及會議後使用者滿意度之交互影響，用以了解當團隊領導者人格特質在哪些向度會對會後滿意度產生影響，以及會議中的情感表現是否真的會影響會議後之使用者滿意度。本研究以 WordPress 公司線上協作團隊之會議資料作為探討對象，透過不同資料集建立三塊預測模型:第一塊將短文本進行人格特質分類，用以分析專案團隊領導者之歷史言論紀錄，藉此找出團隊領導者 MBTI 人格特質;第二塊將短文本進行情感分類，用以分類會議中語句之情感;第三塊將預測短文本滿意度，用以對會後使用者滿意度進行評估。本研究由上述三塊分類模型對團隊協作平台文本資料進行分析，結果顯示：(1)領導者人格特質在Social Interaction偏向Introvert 向度之領導者會對團隊帶來較高的會後滿意度而偏向Extrovert 的人格特質之領導者則會相對的會造成較低的滿意度 。 (2) 會議中開心的情緒受到領導者人格特質中 Social Interaction 以及 Information Gathering 向度之影響 (3) 僅僅只有快樂以及悲傷兩者對會後使用者滿意度有著顯著的關聯、而憎恨以及生氣對會後的使用者滿意度皆無顯著的關係。並在最後探討會議情緒是否以中介變數之形式對會議造成影響，並且根據研究結果做出建議，當組建專案團隊時，除了考量成員的技術能力，也需考量領導者人格特質對團隊之影響。 | zh_TW |
| dc.description.abstract | The purpose of this study is to explore the interactive effects of leader personality traits, meeting emotions, and post-meeting user satisfaction in an online collaboration platform to understand the impact of the team leader's personality traits on post-meeting satisfaction, and whether the emotional performance of the meeting will really affect the user satisfaction after the meeting.
This study uses WordPress online collaborative dialogue materials as an analysis object and establishes three prediction models: The first part classifier for personality traits; The second part classifier the for meeting emotion; The third part classifier for post-meeting user satisfaction. The results show that: (1) Leaders' personality traits in Social Interaction biased toward Introvert leaders will bring high post-meeting satisfaction to the team. Leaders who favor Extrovert's personality traits will be relatively less satisfied. (2) The happy mood in the meeting is influenced by the Social Interaction and Information Gathering of the leader's personality traits. (3) Only happiness and sadness have a significant correlation with the user satisfaction after the meeting, and hate and angry There was no significant relationship between user satisfaction after the meeting. Finally, we discuss whether the emotions of the meeting affect the meeting in the form of mediation variables, and make recommendations based on the research results. When setting up the project team, in addition to considering the technical ability of the members, we also need to consider the influence of the leader's personality traits on the team. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T07:23:14Z (GMT). No. of bitstreams: 1 ntu-108-R06725054-1.pdf: 3021359 bytes, checksum: d940f5d0f074ad0c1b430e744a064631 (MD5) Previous issue date: 2019 | en |
| dc.description.tableofcontents | 致謝 i
論文摘要 ii ABSTRACT iii 目錄 v 圖目錄 vii 表目錄 viii 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 2 第三節 研究流程 3 第二章 文獻探討 5 第一節 情感對決策之影響 5 第二節 情感分析 9 第三節 人格特質之研究 12 第四節 深度學習模型建立 14 第五節 小結 21 第三章 研究架構與方法 23 第一節 研究架構 23 第二節 研究方法 24 第三節 研究樣本 37 第四章 研究結果與討論 39 第一節 會議樣本描述 39 第二節 專案領導者MBTI人格分析 40 第三節 會議情緒分析結果 42 第四節 會後成員滿意分析 43 第五節 探討 46 第五章 結論與建議 49 第一節 研究結論 49 第二節 研究限制與未來建議 52 參考文獻 54 | |
| dc.language.iso | zh-TW | |
| dc.subject | 文本分析 | zh_TW |
| dc.subject | 深度學習 | zh_TW |
| dc.subject | 人格特質 | zh_TW |
| dc.subject | 機器學習 | zh_TW |
| dc.subject | 使用者滿意度 | zh_TW |
| dc.subject | User Satisfaction | en |
| dc.subject | Deep Learning | en |
| dc.subject | Machine Learning | en |
| dc.subject | Personality Traits | en |
| dc.subject | Text Analysis | en |
| dc.title | 利用深度學習探討虛擬團隊情緒和滿意度 | zh_TW |
| dc.title | Exploring virtual team emotions and satisfaction using deep learning | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 107-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張伊婷,朱宇倩 | |
| dc.subject.keyword | 使用者滿意度,人格特質,機器學習,深度學習,文本分析, | zh_TW |
| dc.subject.keyword | User Satisfaction,Personality Traits,Machine Learning,Deep Learning,Text Analysis, | en |
| dc.relation.page | 59 | |
| dc.identifier.doi | 10.6342/NTU201901157 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2019-07-02 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位： | 資訊管理學系 | |
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