2018-06-012024-05-13https://scholars.lib.ntu.edu.tw/handle/123456789/650771摘要：許多新創公司或組織透過創業社群網路進行交流，然而，就我們所知，目前未有相關研究，針對這些社群網路上交流的內容進行探勘分析。因此，本子計畫，擬以深度學習為基礎，從創業社群網路上使用者所產生的內容，擷取特徵，接著利用這些特徵，找出關鍵技術、關鍵活動、關鍵資源、關鍵伙伴、目標客群、通路與價值主張等等，然後分析各個關鍵技術與關鍵活動的演化關係，以及探討影響其商業模式的潛在的因素，以輔助新創事業的分析與定位。本研究可幫助新創公司，掌握與其新創事業相關的關鍵技術、關鍵活動與關鍵資源的動態，進而調整其事業定位、客群、伙伴、通路與價值主張等等。<br> Abstract: Many startup companies interchange their information through entrepreneurial social networks. To the best of our knowledge, there is little research dedicated to mining user-generated contents on entrepreneurial social networks. Therefore, in this subproject, based on deep learning methods, we will propose a framework to extract the features from these contents, and then use the features extracted to find the key knowledge, key activities, key resources, key partners, target customers, supply-chain channels, value propositions, etc. Next, we will study how these key technologies and activities evolve, and what factors influence on their business models. Our proposed framework will help startup companies know better about their competitors and partners, find suitable target customers and supply-chain channels, and further adjust their positioning and value propositions.創業社群網路商業模式深度學習使用者所產生的內容entrepreneurial social networkbusiness modeldeep learninguser-generated content