@article{0ac17578bf074dd4ae7395ab428d0a20,
title = "The impact of sentiment orientations on successful crowdfunding campaigns through text analytics",
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%.",
author = "Wei Wang and Kevin Zhu and Hongwei Wang and Wu, {Yen Chun Jim}",
note = "Funding Information: This work was partially supported by the NSFC (grant nos. 71601082, 71371144 and 71601119), Natural Science Foundation of Fujian Province (2017J01132), Social Science Planning Project of Fujian Province (grant no. FJ2016B075) and Huaqiao University's High Level Talent Research Start Project Funding (grant no. 16SKBS102) and Qingdao Entrepreneurship and Innovation Leader Talent Program (grant no. 13-CY-4). Publisher Copyright: {\textcopyright} The Institution of Engineering and Technology 2017.",
year = "2017",
month = oct,
day = "1",
doi = "10.1049/iet-sen.2016.0295",
language = "English",
volume = "11",
pages = "229--238",
journal = "IET Software",
issn = "1751-8806",
publisher = "Institution of Engineering and Technology",
number = "5",
}