Filtering Contents with Bigrams and Named Entities to Improve Text Classification.
François ParadisJian-Yun NiePublished in: AIRS (2005)
Keyphrases
- named entities
- text classification
- text mining
- information extraction
- text documents
- natural language processing
- co occurrence
- named entity recognition
- question answering
- named entity extraction
- relation extraction
- n gram
- annotated corpus
- unsupervised learning
- multi label
- feature selection
- global context
- person names
- naive bayes
- bag of words
- decision trees
- topic models
- news corpus
- personal names
- named entity disambiguation
- text corpus
- chinese named entity recognition
- part of speech
- data mining
- language model
- knn
- knowledge discovery
- data analysis
- natural language
- feature extraction
- learning algorithm