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%.
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design