The impact of sentiment orientations on successful crowdfunding campaigns through text analytics

Wei Wang, Kevin Zhu, Hongwei Wang, Yen Chun Jim Wu*

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

29 引文 斯高帕斯(Scopus)

摘要

The sentiment implied in user generated content represents the authors' personality, attitude, education level and social status. In Crowdfunding, the sentimental factor of the text description may impact the backers' investment intention on the project. The authors study the textual description from the sentimental aspect on the pledge results by employing text mining. The study proves that positive sentiment in the blurb and detailed description promotes the successful campaigns while it should not contain any sentimental factor in title. The predictive analysis shows that the predictive accuracy can be improved 7% based on the baseline model after considering sentimental factors from 64.4% to 71.7%.

原文英語
頁(從 - 到)229-238
頁數10
期刊IET Software
11
發行號5
DOIs
出版狀態已發佈 - 2017 10月 1

ASJC Scopus subject areas

  • 電腦繪圖與電腦輔助設計

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