… 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 …

… These works are relatively old and there has been numerous other works in the past two …
comparative study of Arabic text classification using various techniques such as NB, KNN, SVM …

… 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 mining is an important part of data mining that organizes … Since this paper deals with
three objectives of comparing the … these tasks are solved by means of the stage of linguistic text …

… 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 …

… , we compared the performance of word embeddings in SVM … The subjects were aged 18
years of age or older, residents of … compare the rule-based NLP algorithm with the clinical text …

… As classification algorithms, we exploit SVM, … some important characteristics of the task, in
our case ATC, before given this enriched representation to a strong classifier, in our case, SVM…

… algorithms MNB, LR, SVM and RNN Classifier have been used. In this paper, a comparison
has … in the output by the older inputs becomes less and less and thus vanishes and we lose …

… SVM is one of the most widely used algorithms for … between the preservation of old tasks
and the adaptation to a new … We compared results on the Nvidia 1 Titan GPU implemented in …

… The idea of text mining, a subbranch of data mining, has emerged … one of those algorithms
is Support Vector Machine (SVM) … , words obtained from metrics are examined and similarities …