基於群眾意見之群眾募資推薦機制

A Collective Opinion Mechanism for Crowdfunding Recommendation

桑可心(Kamolporn Sanamlao)

指導教授 ： 李永銘

國立交通大學/管理學院/資訊管理研究所/碩士(2018年)

摘要

群眾募資是一種透過網路技術和社群網絡從群眾中募得小額資金的方法。目前，募資者和支持者也使用擁有大量用戶的社群網站來幫助推廣他們的活動。支持者在投入資金前會參考各種因素，例如專案詳細資訊，目前的保證誓言，有誰支持專案以及專案上的評論等。然而，網路上的內容相當龐大，支持者很難透過平台上的整體文字和評論來做出是否支持的決定。因此，本研究目的在提出一個基於群眾意見的推薦機制來整合並分析社群中文字訊息和支持者對專案的參與。本研究提出的機制可以根據用戶的興趣推薦適合及優質的群眾募資專案。

關鍵字

群眾募資 ； 意見探勘 ； 情感分析 ； 主題模型 ； 推薦

並列摘要

Crowdfunding is an alternative approach to get small fund from a crowd by leveraging of Internet technology and social network. Yet, creators and backers use social networking site, in which it has a large number of users, to help promoting their campaigns. Backers consider various criteria, such as project information, current pledge, who already backed the project or the comments. However, the amount of online generated context is excessive. It is difficult for backers to follow the overall textual information and comments on the platform to make a backing decision. Therefore, in this research, we aim to propose a collective opinion mechanism to aggregate and analyze the social textual information and backers' engagement on a project. The proposed mechanism can recommend appropriate and good quality crowdfunding campaign to a backer who is looking for a project to back according to the user’s interest.

並列關鍵字

Crowdfunding ； Opinion Mining ； Sentiment Analysis ； Topic Modeling ； Recommendation

參考文獻

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