A Comparison of Two Fluctuation Analyses for Natural Language Clustering Phenomena: Taylor and Ebeling & Neiman Methods.
Kumiko Tanaka-IshiiShuntaro TakahashiPublished in: CoRR (2020)
Keyphrases
- natural language
- computational cost
- artificial intelligence
- significant improvement
- information retrieval
- machine learning methods
- knowledge representation
- unsupervised learning
- qualitative and quantitative
- classification method
- self organizing maps
- question answering
- clustering method
- statistical analysis
- natural language processing
- pairwise
- preprocessing
- clustering algorithm
- genetic algorithm