… into methodologies for improving text classification performance is in full … combines cosine
similarity (between a test document and predefined categories) with conventional classifiers …

… data augmentation as a way to improve performance and create robustness. More recently,
… can be combined with data augmentation methods to improve performance and robustness …

… determine the most efficient model for a text classification application. In Section … text
classification. First, we cover traditional methods of text classification, such as Rocchio classification. …

… In machine learning text data can be classified into predefined classes [5]. … mixing KNN and
genetic techniques in order to enhance the classification and labeling accuracy and efficiency…

… ) that contain text content must be classified by topics or … so that classifiers can access
document content efficiently; … to select promising combination of features for text categorization [33]…

… of tuples correctly classified for a given class), and F 1 measure (a combination of precision
… effectiveness of combining word embeddings as the text representation layer with modern …

… work experiences which must be classified into several highly … and implementing a very
efficient text classifier, developed by … 5th, and we do this for each combination of 4 folds, so at the …

… always significantly improve the effectiveness of text classifiers. … These pages were manually
classified into seven different … combined with other methods contributes to improving the …

… Fast Text embedding classified the text achieving an accuracy of 94… This could be improved
further to combine TF-IDF with … the classification performance with maximum x 2 value as 12 …

… from unstructured texts, we transform star ratings to two classes, combining reviews with less
… evaluate the performance of each text classification method based on its ability to develop a …