Paper Info
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 posit...
Year
DOI
Venue
2017
10.1049/iet-sen.2016.0295
IET Software
Keywords
Field
DocType
behavioural sciences computing,crowdsourcing,data mining,investment,sentiment analysis
User-generated content,Internet privacy,Text mining,Computer science,Pledge,Social status,Personality
Journal
Volume
Issue
ISSN
11
5
1751-8806
Citations 
PageRank 
References 
2
0.36
12
Authors
4
Name
Order
Citations
PageRank
Wei Wang11474152.25
Kevin Zhu246617.27
hongwei wang3368.68
Yen-Chun Jim Wu426923.57