Crowd Sourcing as an Improvement of N-Grams Text Document Classification Algorithm.
Petr SalounDavid AndresicBarbora CigánkováIoannis AnagnostopoulosPublished in: SMAP (2020)
Keyphrases
- classification algorithm
- n gram
- text documents
- crowd sourcing
- text classification
- naive bayes
- bag of words
- document classification
- knn
- k nearest neighbor
- social networking
- text categorization
- text mining
- language model
- document clustering
- document representation
- support vector machine
- training set
- class labels
- information extraction
- learning algorithm
- information integration
- labeled data
- feature selection
- machine learning
- topic models
- wordnet
- neural network
- nearest neighbor
- named entities
- computer vision
- web documents
- action recognition
- small number
- feature vectors
- training data
- collective intelligence
- real world