[HTML][HTML] A recent overview of the state-of-the-art elements of text classification
MM Mirończuk, J Protasiewicz - Expert Systems with Applications, 2018 - Elsevier
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …
classification. For this purpose, we first select and investigate the primary and recent studies …
Feature selection methods for text classification: a systematic literature review
JT Pintas, LAF Fernandes, ACB Garcia - Artificial Intelligence Review, 2021 - Springer
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 …
A novel multivariate filter method for feature selection in text classification problems
With increasing number of documents in digital format, automatic text categorization has
become a crucial task in pattern recognition problems. To ease the classification task …
become a crucial task in pattern recognition problems. To ease the classification task …
A review of soft techniques for SMS spam classification: Methods, approaches and applications
Background: The easy accessibility and simplicity of Short Message Services (SMS) have
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …
Combining supervised term-weighting metrics for SVM text classification with extended term representation
M Haddoud, A Mokhtari, T Lecroq… - … and Information Systems, 2016 - Springer
The accuracy of a text classification method based on a SVM learner depends on the
weighting metric used in order to assign a weight to a term. Weighting metrics can be …
weighting metric used in order to assign a weight to a term. Weighting metrics can be …
A novel term weighting scheme for text classification: TF-MONO
The effective representation of the relationship between the documents and their contents is
crucial to increase classification performance of text documents in the text classification …
crucial to increase classification performance of text documents in the text classification …
Improved inverse gravity moment term weighting for text classification
Text classification is one of the popular high dimensional classification problems where
providing better feature vector representations explicitly improve classification …
providing better feature vector representations explicitly improve classification …
Ordinal-based and frequency-based integration of feature selection methods for sentiment analysis
A Yousefpour, R Ibrahim, HNA Hamed - Expert Systems with Applications, 2017 - Elsevier
Feature subset selection with the aim of reducing dependency of feature selection
techniques and obtaining a high-quality minimal feature subset from a real-world domain is …
techniques and obtaining a high-quality minimal feature subset from a real-world domain is …
[HTML][HTML] A survey of uncover misleading and cyberbullying on social media for public health
Misleading health information is a critical phenomenon in our modern life due to advance in
technology. In fact, social media facilitated the dissemination of information, and as a result …
technology. In fact, social media facilitated the dissemination of information, and as a result …
Review of short-text classification
Purpose Rapid developments in social networks and their usage in everyday life have
caused an explosion in the amount of short electronic documents. Thus, the need to classify …
caused an explosion in the amount of short electronic documents. Thus, the need to classify …