Text categorization with Support Vector Machines: Learning with many relevant features

Citation edge evidence

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• Machine learning in automated text categorization→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Thumbs up?→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Hierarchical Attention Networks for Document Classification→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Semi-Supervised Learning→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Earthquake shakes Twitter users→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Character-level Convolutional Networks for Text Classification→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• A comparison of event models for naive bayes text classification→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Text Classification from Labeled and Unlabeled Documents using EM→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• A re-examination of text categorization methods→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• RCV1: A New Benchmark Collection for Text Categorization Research→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• An extensive empirical study of feature selection metrics for text classification→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Thumbs up? Sentiment Classification using Machine Learning Techniques→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Using AUC and accuracy in evaluating learning algorithms→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Naive (Bayes) at forty: The independence assumption in information retrieval→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Training linear SVMs in linear time→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Word sense disambiguation→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Support vector machines for spam categorization→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→Support-Vector NetworksLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→Term-weighting approaches in automatic text retrievalLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• Semi-Supervised Learning→A comparison of event models for naive bayes text classificationLegacy edge — source detail unavailable
• Semi-Supervised Learning→Naive (Bayes) at forty: The independence assumption in information retrievalLegacy edge — source detail unavailable
• Semi-Supervised Learning→A re-examination of text categorization methodsLegacy edge — source detail unavailable
• Semi-Supervised Learning→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
• Semi-Supervised Learning→Support-Vector NetworksLegacy edge — source detail unavailable
• Semi-Supervised Learning→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• Semi-Supervised Learning→Support vector machines for spam categorizationLegacy edge — source detail unavailable
• Semi-Supervised Learning→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• A comparison of event models for naive bayes text classification→Naive (Bayes) at forty: The independence assumption in information retrievalLegacy edge — source detail unavailable
• A re-examination of text categorization methods→A comparison of event models for naive bayes text classificationLegacy edge — source detail unavailable
• A re-examination of text categorization methods→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• A re-examination of text categorization methods→Support-Vector NetworksLegacy edge — source detail unavailable
• A re-examination of text categorization methods→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• A re-examination of text categorization methods→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→Naive (Bayes) at forty: The independence assumption in information retrievalLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→A re-examination of text categorization methodsLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→Machine learning in automated text categorizationLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→Support vector machines for spam categorizationLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• The text mining handbook: advanced approaches in analyzing unstructured data→Thumbs up? Sentiment Classification using Machine Learning TechniquesLegacy edge — source detail unavailable
• Training linear SVMs in linear time→RCV1: A New Benchmark Collection for Text Categorization ResearchLegacy edge — source detail unavailable
• Training linear SVMs in linear time→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• Using AUC and accuracy in evaluating learning algorithms→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• Text Classification from Labeled and Unlabeled Documents using EM→A comparison of event models for naive bayes text classificationLegacy edge — source detail unavailable
• Text Classification from Labeled and Unlabeled Documents using EM→Naive (Bayes) at forty: The independence assumption in information retrievalLegacy edge — source detail unavailable
• Text Classification from Labeled and Unlabeled Documents using EM→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• Text Classification from Labeled and Unlabeled Documents using EM→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• An extensive empirical study of feature selection metrics for text classification→A comparison of event models for naive bayes text classificationLegacy edge — source detail unavailable
• An extensive empirical study of feature selection metrics for text classification→A re-examination of text categorization methodsLegacy edge — source detail unavailable
• An extensive empirical study of feature selection metrics for text classification→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• An extensive empirical study of feature selection metrics for text classification→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→Support-Vector NetworksLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→Support vector machines for spam categorizationLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• An Evaluation of Statistical Approaches to Text Categorization→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Machine learning in automated text categorization→Naive (Bayes) at forty: The independence assumption in information retrievalLegacy edge — source detail unavailable
• Machine learning in automated text categorization→Term-weighting approaches in automatic text retrievalLegacy edge — source detail unavailable
• Machine learning in automated text categorization→A re-examination of text categorization methodsLegacy edge — source detail unavailable
• Machine learning in automated text categorization→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
• Machine learning in automated text categorization→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• Machine learning in automated text categorization→Support vector machines for spam categorizationLegacy edge — source detail unavailable
• Machine learning in automated text categorization→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• Machine learning in automated text categorization→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• RCV1: A New Benchmark Collection for Text Categorization Research→A re-examination of text categorization methodsLegacy edge — source detail unavailable
• RCV1: A New Benchmark Collection for Text Categorization Research→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• RCV1: A New Benchmark Collection for Text Categorization Research→Machine learning in automated text categorizationLegacy edge — source detail unavailable
• RCV1: A New Benchmark Collection for Text Categorization Research→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Thumbs up?→A comparison of event models for naive bayes text classificationLegacy edge — source detail unavailable
• Thumbs up?→Naive (Bayes) at forty: The independence assumption in information retrievalLegacy edge — source detail unavailable
• Support vector machines for spam categorization→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• Support vector machines for spam categorization→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• Support vector machines for spam categorization→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Character-level Convolutional Networks for Text Classification→RCV1: A New Benchmark Collection for Text Categorization ResearchLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→Support-Vector NetworksLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Hierarchical Attention Networks for Document Classification→Character-level Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
• Thumbs up? Sentiment Classification using Machine Learning Techniques→A comparison of event models for naive bayes text classificationLegacy edge — source detail unavailable
• Thumbs up? Sentiment Classification using Machine Learning Techniques→Naive (Bayes) at forty: The independence assumption in information retrievalLegacy edge — source detail unavailable