A Classification Framework of Identifying Major Documents With Search Engine Suggestions and Unsupervised Subtopic Clustering.
Chen ZhaoTakehito UtsuroYasuhide KawadaPublished in: Int. J. Cogn. Informatics Nat. Intell. (2021)
Keyphrases
- search engine
- unsupervised learning
- unsupervised classification
- unsupervised clustering
- supervised classification
- information retrieval
- document classification
- user queries
- image classification
- clustering algorithm
- keywords
- decision trees
- k means
- document clustering
- text clustering
- supervised learning
- feature vectors
- web search
- support vector machine
- unsupervised feature selection
- class labels
- machine learning
- support vector
- unsupervised manner
- feature selection
- returned by a search engine
- automatic categorization
- metasearch engine
- metadata
- query terms
- text documents
- classification algorithm
- test collection
- clustering method
- classification accuracy
- probabilistic model
- training set