Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning.
Susan LeavyEmilie PineMark T. KeanePublished in: ECML/PKDD (3) (2018)
Keyphrases
- machine learning
- associative memory
- neural network
- machine learning algorithms
- natural language processing
- case study
- pattern recognition
- network architecture
- computer vision
- united states
- information technology
- literature review
- computational intelligence
- co occurrence
- word sense disambiguation
- explanation based learning
- knowledge acquisition
- text mining
- industrial applications
- inductive logic programming
- n gram
- machine learning methods
- digital government
- e government
- data analysis
- decision trees
- feature selection
- word recognition
- text classification
- active learning
- data mining
- vector space
- learning systems
- model selection
- supervised learning
- information extraction
- support vector machine
- knowledge discovery
- knowledge representation
- data hiding
- public sector
- neural model
- homeland security