Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach.
Loni HagenÖzlem UzunerChristopher KotfilaTeresa M. HarrisonDan LamannaPublished in: HICSS (2015)
Keyphrases
- federal government
- topic modeling
- natural language processing
- text mining
- topic models
- e government
- intelligence community
- digital government
- latent dirichlet allocation
- information extraction
- machine learning
- text classification
- text documents
- information retrieval
- wordnet
- knowledge representation
- question answering
- collaborative filtering
- machine translation
- active learning
- data analysis
- natural language
- subject matter
- search engine