[PDF] Top 20 An Efficient Feature Selection Method for Arabic Text Classification
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An Efficient Feature Selection Method for Arabic Text Classification
... Chi-square-based feature selection method is described below. Our method is composed of two algorithms; Algorithm 1 and Algorithm ...This method was already described in (Compared ... See full document
6
Feature Selection for Effective Text Classification using Semantic Information
... of text data hence it is imperative to deal with text data. Text mining generally refers to the process of extracting interesting and non-trivial information and knowledge from unstructured ... See full document
8
Text Classification using KNN with different Feature Selection Methods
... and feature extraction, we need a method which considers rare terms as similarly as frequent terms, multiple appearances of a term in a document to be more important than single appearances, and is not ... See full document
10
A New Feature Selection Technique Combined with ELM Feature Space for Text Classification
... without using any specific algorithm (Kira and Rendell, 1992), and hence preferred over wrap- per methods. Most filter methods give a rank- ing of the best features rather than one single set of best features. Wrapper ... See full document
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PSA: A Hybrid Feature Selection Approach for Persian Text Classification
... proposed feature selection method, PSA, has weakness in text documents with politic category ...politic text with wrong labeling, were assigned to the social ...5 text documents ... See full document
12
Efficient Feature Selection and Classification Technique For Large Data
... IGWO method not only adaptively converges more quickly, producing much better solution quality, but also gains less number of selected features, achieving high classification ...the method scans the ... See full document
7
An Efficient Method for Automatic Classification of Brain MRI using Feature Selection and Modified Probabilistic Neural Network
... The method of magnetic resonance imaging separates and clarifies human brain neural ...MRI method includes many processing methods which scan the inner framework of the human brain and seize ...and ... See full document
6
An Extensive Empirical Study of Feature Selection Metrics for Text Classification
... A final choice in the feature selection policy is whether to rule out all negatively correlated features. Some speculate that classifiers built from positive features only may be more robust in the special ... See full document
17
WEIGHTING INDIVIDUAL OPTIMAL FEATURE SELECTION IN NAIVE BAYES FOR TEXT CLASSIFICATION
... that text categorization is important ...of text mining in this digital ...better feature will improve performance classification and the illuminate the ...multiclass classification and ... See full document
13
Feature Selection for Short Text Classification using Wavelet Packet Transform
... Text classification tasks suffer from curse of dimensionality due to large feature ...Short text data further exacerbates the prob- lem due to their sparse and noisy ...ture selection ... See full document
6
Empirical Study on Filter based Feature Selection Methods for Text Classification
... applying feature selection methods to the classifiers ...different feature selection metrics Chi-squared, Information Gain, Mutual Information and Symmetrical Uncertainty with the four ... See full document
6
Feature Selection and the Preservation of Infrequent and Highly Significant Attributes in the Context of Arabic Text Mining
... 1 No of preserved attributes by the known DR methods In order to alleviate this problem we present in the next paragraph several solutions capable of both preserving a the most relevant [r] ... See full document
6
Feature Selection based Classification using Naive Bayes, J48 and Support Vector Machine
... In feature selection, selection of most distinct feature is ...the efficient performance of the ...Filter method for feature ...the feature. Impact of ... See full document
5
Arabic Text Classification review
... the Arabic text. The k-fold cross- validation method is used to test the ...found Arabic corpus for evaluating text ...in Arabic language. They extracted feature set of ... See full document
5
Arabic Text Classification Process
... in-house Arabic which had different sizes and contents, which came from different web sites [14, ...of Arabic text classification used Naïve Bayes [16, 17], Support vector machine [18], ... See full document
8
An Efficient Decision Tree Model for Classification of Attacks with Feature Selection
... to efficient utilization of computer network and increasing wired and wireless ...based classification techniques that can classify data as normal or ...new method known as KDD winner consisting of ... See full document
7
Information Gain as a Feature Selection Method for the Efficient Classification of Influenza Based on Viral Hosts
... subtype classification accuracy of 100%. Accuracies of host classification ranged from 50% to 100%, depending on ...host classification accuracies, the classification performance was reduced ... See full document
7
Survey of Text Classification Technique and Compare Classifier
... Text classification is task of automatically sorting set of document into categories from predefined ...on text classification .The existing classification methods are compared and ... See full document
5
Feature Selection and Reduction for Persian Text Classification
... In text classification domain, dimension of features is essential and effective problem. Even for limited collections, the dimension of the index can be exceedingly large. For example, in our experiments, ... See full document
5
A feature selection method based on synonym merging in text classification system
... of text classification, some researchers start to propose a text classification system based on synonym merging to improve the accuracy of ...a text feature selection ... See full document
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