Semantic-based topic detection using Markov decision processes.
Qian ChenXin GuoHexiang BaiPublished in: Neurocomputing (2017)
Keyphrases
- markov decision processes
- topic detection
- text classification
- state space
- dynamic programming
- document clustering
- finite state
- reinforcement learning
- document collections
- optimal policy
- decision theoretic planning
- policy iteration
- transition matrices
- average cost
- markov decision process
- text categorization
- text data
- partially observable
- average reward
- infinite horizon
- action space
- document level
- information retrieval
- machine learning
- knn
- data analysis
- learning algorithm
- neural network