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

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

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

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%.

Original languageEnglish
Pages (from-to)229-238
Number of pages10
JournalIET Software
Volume11
Issue number5
DOIs
Publication statusPublished - 2017 Oct 1

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Predictive analytics

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

Cite this

The impact of sentiment orientations on successful crowdfunding campaigns through text analytics. / Wang, Wei; Zhu, Kevin; Wang, Hongwei; Wu, Yen Chun Jim.

In: IET Software, Vol. 11, No. 5, 01.10.2017, p. 229-238.

Research output: Contribution to journalArticle

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