日常生活中，人們於遇到問題或面臨決策時，往往會思索、歸納各種可能之解決方案或意見並從中進行決策，以期找出最適之解決方案而準確且有效的解決問題或達成目標。而在以往之決策過程中，人們總先入為主地假設產生良好決策結論之關鍵在於一適當人選（如專家）或少數能力優異成員之意見或決定。然而，包含專家在內的每一個體對於解決問題所具備之知識往往不盡完備，因此，現行之意見決策模式往往造成單一個體認為可能最合適之決策實則並非為最適決策的問題。
對於前述之相同決策議題，若能依據「群眾智慧」理論，先讓群體內所有成員皆能在不受他人影響下獨立發表自身意見，再透過適當機制客觀地彙整全體成員之意見，其對應產生之群體決策結論將比群體中最具智慧的個體所下之決策結論更具智慧。因此，本研究乃期望以「群眾智慧」理論為基礎，發展一套「群體意見結論推論」模式與系統技術，以針對人們表達意見時較常採用之文字形式意見，先運用一公正機制客觀地彙整為群體普遍認同之結論與傾向，再將此些較完備之決策結論提供予決策需求者參考。
為達成前述之研究目標，本研究乃先透過「意見內容解析」階段解析自由形式意見之組成元素（稱「意見表達項目」）並運用統計方法分析各意見表達項目之特性，之後再以各項目之特性為基礎，發展一套「群體意見結論推論」方法論，以依序經由「意見內容結構化呈現」階段針對各自由形式之文字型意見先擷取其關鍵內容並結構化地呈現，再藉由「意見傾向解析與結論呈現」階段運用語意分析方法剖析各意見觀點並進一步收斂群體傾向。最後，本研究再根據所提出之方法論發展對應系統平台，並以現今網路使用者較為熟悉之「Yahoo!奇摩知識+」討論平台的問題與回覆意見為實務案例，驗證本方法論與平台之實效。整體而言，本研究乃期望透過此模式與平台之發展，群體之意見結論得以自動化地被解析、彙整，並提供予人們作為決策時之參考。

As people need to make decisions or solve problems, they usually collect some opinions or feasible solutions to ensure that they can obtain the best/better solution. People usually think the best/better solution can be generated from one specific domain expert or a small elite group. However, most people (including the domain experts) would not have enough knowledge and skills to solve every problem they face with. On the basis of the collective intelligence (CI), people would have a higher probability to get the best/better solution to solve their problems, if the numerous of opinions from the public can be collected in a fair and objective way.
Based on the concept of collective intelligence, this research develops a methodology and a platform for public opinion gathering and tendency determination. Before development of the methodology, this research analyzes the key components of opinions and uses the statistical methods to explore the characteristics of each component. On the basis of the key components and their characteristics, this research develops a two-stage methodology for gathering and analyzing the collective intelligence. In first stage of the proposed methodology, the free-form opinions can be converted to the formatted ones. After that, in the second stage, the proposed method extracts the viewpoint and tendency related to each formatted opinion and determines the trend of the pubic in order to support decision making. By utilizing the proposed methodology, this research develops a platform for collective intelligence analysis. Furthermore, a real-world case, Yahoo! Answers (YA), is also used to evaluate the feasibility and performance of the proposed methodology and platform.
As a whole, by using the proposed methodology and platform, the free-form opinions from users can be converted into structured opinion components and the tendency of group opinions can be automatically derived to support decision making. As a result, people can effectively and efficiently make decisions on the basis of the collective intelligence.

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