… techniques such as Naïve Bayes classifiers (NB), Support vector machine (SVM) and k-Nearest …
technique on text classification using machine learning algorithms. 2 Text classification …

… In general, text classification plays an important role in information … , text retrieval, and
questionanswering. This paper illustrates the text classification process using machine learning …

… Many machine learning approaches have achieved surpassing results in natural … text
classification. First, we cover traditional methods of text classification, such as Rocchio classification…

… with the selection of efficient machine learning techniques by … machine learning algorithm
for our text classification. We have used an efficient technique for our English text classification. …

… Text Classification is the task of classifying a document under … In this research, several
machine learning algorithms are … text classification includes topic based text classification and …

… [7] with a traditional machine learning NLP approach that trains machine learning algorithms
in … We have carried out four different experiments about text classification. In all of them, we …

… learning with SVMs can significantly reduce the need for labeled training instances. We shall
use text classification … This is the task of determining to which pre-defined topic a given text …

… This paper covers the overview of syntactic and semantic matters, domain ontology, tokenization
concern and focused on the different machine learning techniques for text classification …

… machine learning classifiers for text classification. It provides for theoretical and empirical
evidence that SVMs is better for text classification … promising classifier for text classification. …

… the text classification process on different dataset using some standard supervised machine
learning … In this research, several machine learning algorithms are applied to a number of …