Feature Selection (FS) methods alleviate key problems in classification procedures as they
are used to improve classification accuracy, reduce data dimensionality, and remove …

The feature selection is important to speed up the process of Automatic Text Document
Classification (ATDC). At present, the most common method for discriminating feature …

In text classification, the Global Filter-based Feature Selection Scheme (GFSS) selects the
top-N ranked words as features. It discards the low ranked features from some classes either …

Feature selection improves the training speed of the classifier without affecting its predictive
capability. It selects a subset of most informative words (terms) from the set of all words …

Recently the role of text analysis and classification in Data Mining has become significantly
important. It is being used in Spam filtering, News classification, Noise reduction, and …

Many people have been severely affected by the COVID-19 outbreak, which has left them
anxious, terrified, and other difficult feelings. Since the introduction of coronavirus …

Feature selection is widely used to overcome the problems caused by the curse of
dimensionality, since it reduces data dimensionality by removing irrelevant and redundant …

Many people have been severely affected by the COVID-19 outbreak, which has left them
anxious, terri ed, and other di cult feelings. Since the introduction of coronavirus …

Many people have been severely affected by the COVID-19 outbreak, which has left them
anxious, terrified, and other difficult feelings. Since the introduction of coronavirus …

The paper considers a method of information retrieval of scientific articles. Search engine
users often find it difficult to formulate a query using a proper terms related to the research …