Feature selection methods for text classification: a systematic literature review
Feature Selection (FS) methods alleviate key problems in classification procedures as they
are used to improve classification accuracy, reduce data dimensionality, and remove …
are used to improve classification accuracy, reduce data dimensionality, and remove …
Feature selection techniques in the context of big data: taxonomy and analysis
HM Abdulwahab, S Ajitha, MAN Saif - Applied Intelligence, 2022 - Springer
Abstract Recent advancements in Information Technology (IT) have engendered the rapid
production of big data, as enormous volumes of data with high dimensional features grow …
production of big data, as enormous volumes of data with high dimensional features grow …
A novel filter feature selection method using rough set for short text data
High dimensionality problem is an important concern for short text classification due to its
effect on computational cost and accuracy of classifiers. Also, short text data, besides being …
effect on computational cost and accuracy of classifiers. Also, short text data, besides being …
A novel filter feature selection method for text classification: Extensive Feature Selector
As the huge dimensionality of textual data restrains the classification accuracy, it is essential
to apply feature selection (FS) methods as dimension reduction step in text classification …
to apply feature selection (FS) methods as dimension reduction step in text classification …
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification
In order to provide benchmark performance for Urdu text document classification, the
contribution of this paper is manifold. First, it provides a publicly available benchmark …
contribution of this paper is manifold. First, it provides a publicly available benchmark …
Feature selection based on absolute deviation factor for text classification
L **, L Zhang, L Zhao - Information Processing & Management, 2023 - Elsevier
In text classification, it is necessary to perform feature selection to alleviate the curse of
dimensionality caused by high-dimensional text data. In this paper, we utilize class term …
dimensionality caused by high-dimensional text data. In this paper, we utilize class term …
A novel feature and class-based globalization technique for text classification
B Parlak - Multimedia Tools and Applications, 2023 - Springer
Text classification is a very important topic in the current era due to the high volume of
textual data and handling. Feature selection is one of the most important steps in text …
textual data and handling. Feature selection is one of the most important steps in text …
A robust hybrid approach for textual document classification
Text document classification is an important task for diverse natural language processing
based applications. Traditional machine learning approaches mainly focused on reducing …
based applications. Traditional machine learning approaches mainly focused on reducing …
Two stream deep network for document image classification
This paper presents a novel two-stream approach for document image classification. The
proposed approach leverages textual and visual modalities to classify document images into …
proposed approach leverages textual and visual modalities to classify document images into …
The effects of globalisation techniques on feature selection for text classification
Text classification (TC) is very important and critical task in the 21th century as there exist
high volume of electronic data on the Internet. In TC, textual data are characterised by a …
high volume of electronic data on the Internet. In TC, textual data are characterised by a …