A deep-learning based citation count prediction model with paper metadata semantic features.
Anqi MaYu LiuXiujuan XuTao DongPublished in: Scientometrics (2021)
Keyphrases
- prediction model
- deep learning
- semantic features
- metadata
- semantic information
- unsupervised learning
- relation extraction
- weakly supervised
- visual features
- low level features
- regression model
- digital libraries
- wordnet
- text classification
- machine learning
- semantic similarity
- feature set
- document clustering
- neural network
- mental models
- low level
- high level
- databases
- keywords
- visual information
- decision trees