Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning.
Susan LeavyEmilie PineMark T. KeanePublished in: CoRR (2023)
Keyphrases
- machine learning
- associative memory
- neural network
- case study
- network architecture
- learning algorithm
- n gram
- e government
- united states
- text classification
- learning tasks
- industrial applications
- information extraction
- machine learning algorithms
- artificial intelligence
- machine learning methods
- support vector machine
- vector space
- feature selection
- search engine
- learning systems
- inductive logic programming
- government agencies
- natural language processing
- supervised learning
- digital images
- knowledge discovery
- active learning
- explanation based learning
- pattern recognition
- data hiding
- word sense disambiguation
- transfer learning
- language model
- computational intelligence
- co occurrence
- data analysis
- data mining