Keyphrases
Deep NLP
100%
Crash Severity
100%
Generative Transformer
100%
Term Frequency-inverse Document Frequency (TF-IDF)
100%
Ensemble Learning
100%
Severity Classification
100%
Word2vec
75%
Augmented Dataset
75%
Property Damage
50%
RoBERTa
50%
Fatal Injuries
50%
Word Embedding
50%
Personal Injury
50%
Ensemble Model
50%
Pre-trained Language Model
50%
Textual Classification
25%
Majority Class
25%
Voting Classifier
25%
Machine Learning Learning
25%
Three-machine
25%
Crash Data
25%
Motorists
25%
Missouri
25%
Imbalanced Data
25%
Classification Model
25%
Comprehensive Experiment
25%
Deep Machine Learning
25%
Data Augmentation
25%
Minority Class
25%
Bidirectional Long Short-term Memory (BiLSTM)
25%
Natural Language Processing
25%
Transfer Learning
25%
Feature Extraction Methods
25%
State Highway
25%
Naïve Bayes
25%
Damage Classification
25%
Highway Patrol
25%
Deep Learning Model
25%
State Emergence
25%
Conventional Techniques
25%
Hard Voting
25%
Highly Effective
25%
Computer Science
Bidirectional Encoder Representations From Transformers
100%
Ensemble Learning
100%
Word Embedding
50%
Machine Learning
50%
Learning System
50%
Pre-Trained Language Models
50%
Feature Extraction
25%
Bidirectional Long Short-Term Memory Network
25%
Data Augmentation
25%
Individual Model
25%
Majority Class
25%
Transfer Learning
25%
Classification Models
25%
Random Decision Forest
25%
Minority Class
25%
Embedding Method
25%
Natural Language Processing
25%
Context Dependent
25%
Deep Learning Model
25%