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A new feature selection method based on frequent and associated itemsets for text classification

https://doi.org/10.1002/cpe.7258
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Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation
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Stemming and Lemmatization for Information Retrieval Systems in Amazigh Language
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Feature selection by optimizing a lower bound of conditional mutual information
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Feature selection via maximizing global information gain for text classification
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Feature selection with effective distance
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The Impact of Features Extraction on the Sentiment Analysis
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Feature Selection for Classification
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Feature Selection Algorithm Based on Association Rules
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Feature selection: evaluation, application, and small sample performance
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Scalable algorithms for association mining
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Text Features Extraction based on TF-IDF Associating Semantic
inferredcites →https://doi.org/10.1109/iccsce.2014.7072776openalex-snapshot
A review in feature extraction approach in question classification using Support Vector Machine
inferredcites →https://doi.org/10.1109/icengtechnol.2017.8308201openalex-snapshot
Efficient method for feature selection in text classification
inferredcites →https://doi.org/10.1109/seia.2019.00009openalex-snapshot
Hybrid Model of Correlation Based Filter Feature Selection and Machine Learning Classifiers Applied on Smart Meter Data Set
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Finding interesting rules from large sets of discovered association rules
inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/505282.505283openalex-snapshot
Machine learning in automated text categorization
inferredcites →https://doi.org/10.1177/0165551518770967openalex-snapshot
Mutual information and sensitivity analysis for feature selection in customer targeting: A comparative study
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Feature Selection for Text Classification
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Improve the Accuracy of Support Vector Machine Using Chi Square Statistic and Term Frequency Inverse Document Frequency on Movie Review Sentiment Analysis
inferredcites →https://doi.org/10.21236/ada292575openalex-snapshot
Selection of Relevant Features in Machine Learning.
inferredcites →https://doi.org/10.21609/jiki.v9i2.384openalex-snapshot
FEATURE SELECTION METHODS BASED ON MUTUAL INFORMATION FOR CLASSIFYING HETEROGENEOUS FEATURES
inferredcites →https://doi.org/10.3233/ida-2009-0364openalex-snapshot
Searching for interacting features in subset selection1
inferredcites →https://doi.org/10.3390/app9040665openalex-snapshot
A Feature Selection Method for Multi-Label Text Based on Feature Importance
inferredcites →https://doi.org/10.5120/ijais14-451139openalex-snapshot
Tokenization and Filtering Process in RapidMiner

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