… ; support vector machine … text categorization was constantly be an essential research
and application area because foundation for digital papers. These days, text categorization …

… approach used for the classification of any kind of documents for the target category or out. …
the Support Vector Machines (SVM) model in classifying English text and documents. Here …

… in this work are Support Vector Machines, Naïve Bayes, K-… and algorithms for text recognition
using the aforementioned ML … into categories based on the text provided in the abstract. …

… Support Vector Machine-Recursive Feature Elimination (SVM-RFE) to re-evaluate Odd Ratio
rated features for Chinese text classification [… of features in the text document, and the SVM-…

… classification tasks Support Vector Machine (SVM), Naïve Bayes (NB), K Nearest Neighbor
(KNN), Multilayer Perceptron (MLP), Stochastic Gradient Descent (SGD), Random Forest (RF)…

… Then we have applied classification algorithm to classify opinion as either positive or
negative. Support vector machine algorithm is used to classify reviews where RBF kernel SVM is …

… We start with a simple Support Vector Machine for performing binary classification before
considering multi-class classification and learning in the presence of noise. We show that this …

… we have proposed documents classification approach that can cluster the text documents
of … Then, text stories will be classified by support vector machine (SVM) and decision tree (DT). …

… Comparison of Kernel Functions In this study, the authors compares some kernel functions
to the Support Vector Machine algorithm, to find out the best kernel that can be applied in …

… paragraphs within the same document semantically belong to multiple categories [4], [5]. …
Because of these characteristics, text document classification of Urdu language is more …