Drift Detection in Text Data with Document Embeddings.
Robert FeldhansAdrian WilkeStefan HeindorfMohammad Hossein ShakerBarbara HammerAxel-Cyrille Ngonga NgomoEyke HüllermeierPublished in: IDEAL (2021)
Keyphrases
- text data
- text documents
- drift detection
- document collections
- text classification
- text mining
- high dimensional data
- concept drift
- high dimensional
- information retrieval systems
- structured data
- low dimensional
- information retrieval
- wordnet
- text categorization
- dimensionality reduction
- topic models
- keywords
- information extraction
- artificial intelligence
- vector space
- natural language processing
- data mining
- data streams
- face recognition
- natural language
- action recognition
- web pages
- named entities
- search engine
- digital libraries
- learning algorithm
- feature space