Experimental results show that our proposed Gini-TF fused algorithm could efficiently reduce the dimension of text feature space and improve the accuracy of ...
Experimental results show that our proposed Gini-TF fused algorithm could efficiently reduce the dimension of text feature space and improve the accuracy of.
Aug 27, 2024 · ... The term frequencies (TF) denote the number of occurrences of these terms in the document. Primitive models based on direct classification ...
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What are the feature selection methods for text classification?
What is Gini for feature importance?
In this paper, we study another method known as within class popularity to deal with feature selection based on the concept Gini coefficient of inequality (a ...
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In this paper, we address the selection problem by suggesting a one-step method designed to optimally select the subset of features.
Jan 15, 2024 · The recently introduced Gini-Index Text (GIT) feature-selection algorithm for text classification, through incorporating an improved Gini Index ...
Mar 7, 2011 · Feature selection methods are a big topic. You can start with following: Chi square. Mutual information. Term frequency. etc.
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This paper presents an improved Gini-Index algorithm to correct feature-selection bias in text classification.
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May 12, 2020 · In this study, we propose a feature selection method for text classification based on independent feature space search.
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This article compares term frequency and document frequency for feature selection metrics in text categorization.
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