Controversy Detection: A Text and Graph Neural Network Based Approach.
Samy BenslimaneJérôme AzéSandra BringayMaximilien ServajeanCaroline MolleviPublished in: WISE (1) (2021)
Keyphrases
- neural network
- graph matching
- automatic detection
- directed graph
- structured data
- information retrieval
- detection accuracy
- pattern recognition
- text retrieval
- detection algorithm
- connected components
- graph theoretic
- false alarms
- free text
- fuzzy logic
- detection method
- keywords
- detection rate
- graph theory
- object detection
- artificial neural networks
- fault diagnosis
- false positives
- text detection
- spanning tree
- prediction model
- graph representation
- bounding box
- genetic algorithm
- complex background
- graph structure
- bp neural network
- feed forward
- natural language processing
- text mining
- random walk
- anomaly detection
- text documents
- self organizing maps
- web documents