Web based keyword extraction on crowdfunding projects with novel features
- Resource Type
- Conference
- Authors
- Hou, Wenting; Qu, Jian
- Source
- 2022 6th International Conference on Information Technology (InCIT) Information Technology (InCIT), 2022 6th International Conference on. :87-91 Nov, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Support vector machines
Bit error rate
Feature extraction
Data mining
Information technology
Fake news
crowdfunding project
feature extraction
keyword extraction
machine learning
BERT
- Language
Most of the existing research on contradiction focuses on detecting social media-based fake news or fake charity crowdfunding projects, but research on fake or infeasible crowdfunding projects is very limited. Therefore, we focus on how to gain an understanding of fake crowdfunding projects based on keyword extraction and selection. We used 12 features to extract keywords from web based information about crowdfunding projects. We evaluate this method with crowdfunding projects. Experiments showed that BERT with DT provide results of 69.33% in F-measure, which is better than other algorithms.