A Review of Machine Learning Algorithms for Text Classification.
Ruiguang LiMing LiuDawei XuJiaqi GaoFudong WuLiehuang ZhuPublished in: CNCERT (2021)
Keyphrases
- machine learning algorithms
- text classification
- machine learning
- benchmark data sets
- learning algorithm
- machine learning methods
- decision trees
- learning problems
- predictive accuracy
- text categorization
- bag of words
- labeled data
- feature selection
- machine learning models
- text mining
- spam filtering
- machine learning approaches
- learning tasks
- sentiment analysis
- random forests
- naive bayes
- input features
- data cleaning
- machine learning systems
- unlabeled data
- statistical machine learning
- knn
- transfer learning
- semantic features
- data structure
- data points
- standard machine learning algorithms