張仕政
張仕政
考量順序關係之市場機會探索方法研發
Developing a Chance Discovery Method with Consideration of Sequential Relationship
會探索、文字探勘、語意分析
Chance Discovery、Text Mining、Semantic Analysis
網路資訊豐富且取得便利，其中包含了口碑、評價等可以瞭解市場與消費者反應的資訊，且此資訊已成為企業產品創新或服務改善的重要參考。由於市場動態變化頻繁，易受到時間發生的演變、因果事件的相互影響與群眾在網路上對於人事時地物的評論，造成事件間產生不同的關聯。因此掌握這些關聯是攸關企業能否在市場搶得先機的重要因素之一。本研究目的是發展一考量順序關係之市場機會探索方法。利用文字探勘與語意分析等方法，探勘事件間的關聯法則與時間、因果、階層等順序關係，以瞭解市場趨勢，並協助企業尋找市場機會，提升企業競爭力。
With the richness of Internet, it becomes easier to get information, including the word of mouth and appraisal which help the product innovation or service improvement for enterprises. However, as the frequent change of market, the variation of time, the causal event, and the users’ rates could form the different connections between events. To know well the connections becomes an important factor to take the preemptive opportunities for enterprises. This study proposed a chance discovery method with consideration of sequential relationship, which integrates the text mining and semantic analysis to explore the general, time, causal, and hierarchical relations. The method could assist enterprises understanding the trends of market, finding the change, and enhancing the competitiveness.