Impact of Stemming and Word Embedding on Deep Learning-Based Arabic Text Categorization.
Huda Abdulrahman AlmuzainiAqil M. AzmiPublished in: IEEE Access (2020)
Keyphrases
- text categorization
- deep learning
- n gram
- text classification
- term frequency
- unsupervised learning
- term weighting
- feature selection
- document frequency
- distributional clustering
- multi label
- machine learning
- knn
- text documents
- semi supervised learning
- information gain
- k nearest neighbor
- co occurrence
- unlabeled data
- bag of words
- weakly supervised
- vector space
- information retrieval
- support vector
- mental models
- semi supervised
- nearest neighbor
- language model
- data sets