… Typical text mining tasks include text categorization, text … about old classification algorithms
in text categorization. They… of SVM, naive Bayes and KNN algorithms in text categorization …

… three class distributions for text categorization tasks: … ALSVM was applied to all training
sets using different threshold … If we compare our proposed algorithm with other algorithms, we …

… Text classification is the task of categorizing a document … generalization ability when compared
with NB and SVM. It can also … discusses some popular algorithms used in text mining, and …

… In this paper, a comparative analysis of text classification is … A number of text classifiers are
used in text mining are used … SVM is also compared to other algorithms, but SVM outperforms …

… We highlight the differences between earlier methods and more … fields of text mining and
natural language processing (NLP). … In short, SVMs construct an optimal hyperplane in a simple …

… Text classification (TC) is a supervised learning task that … [25] compared NB and SVM using
a corpus consisted of 5121 … , we compared the performances of various classification models …

… Information retrieval and text mining in multi-word is a recently investigated feature, and it has
… Comparison of SVM and some older classification algorithms in text classification tasks." In …

… the older and new techniques utilised in each phase of text … and multinomial models), SVM,
regression-based classifiers, … text; feature construction in text mining; information extraction …

… classification of emotions in text. The classification algorithm used in this paper is the SVM …
Word2Vec is used in this study because it provides better performance for the semantic task in …

… proposed classifier ensemble is compared to conventional … in conjunction with classification
algorithms (such as NB, SVMs, … , such as text mining. Although NB has a simple structure, the …