2019-01-012024-05-13https://scholars.lib.ntu.edu.tw/handle/123456789/654500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，將大量的文章串聯成一個個的故事鏈，以幫助使用者快速的閱覽大量文章中的重要資訊。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，所串連出的故事鏈能夠提供使用者豐富的產業資訊，讓使用者快速掌握相關產業的資訊，協助其擬定相關商業策略。<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 to propose a framework to build storylines from news articles of entrepreneurial industry. Next, we will study how these key technologies and activities evolve, and what factors influence on their business models. Mining storylines from such a large amount of articles may give us a picture what is going on or the whole picture of related events. Our proposed framework will help startup companies know better about their competitors and partners, and provide valuable business insights for users to implement their business strategies in the related industry.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