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Year of publication
Subject
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PCA 3 Dimensionality Reduction 2 Feature Extraction 2 Ontology 2 Semantic Similarity 2 Term Frequency Inverse Document Frequency 2 Vector Space Model 2 Web Text Documents Classification 2 Feature Selection 1 Feature Vectr Generation 1 Information Filtering 1 Natural Language Processing 1 Pattern Mining 1 SVM 1 Semantic Similarity Measures 1 Text Documents 1 Topic Modeling 1 User Interest Modeling 1 WordNet 1 Wordnet 1 class profile-based feature selection 1 document classification 1 kNN 1 machine learning 1 natural language processing 1 one-class categorization 1 pattern recognition 1 principal component analysis 1 ranking by similarity 1 support vector machines 1 text categorisation 1 text documents 1 text similarity 1 unlabeled text documents 1
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Online availability
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Undetermined 4 Free 1
Type of publication
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Article 4 Book / Working Paper 1
Language
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English 4 Undetermined 1
Author
All
Badran, Khaled M. 2 Elhadad, Mohamed K. 2 Salama, Gouda I. 2 Aung, Sint Sint 1 Darena, Frantisek 1 Svoboda, Arnost 1 Wai, Than Than 1 Wang, Haibo 1 Xu, Yaquan 1 Zizka, Jan 1
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Institution
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Provozně ekonomická fakulta, Mendelova Univerzita v Brnĕ 1
Published in...
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International Journal of Software Innovation (IJSI) 3 International Journal of Data Analysis Techniques and Strategies 1 MENDELU Working Papers in Business and Economics 1
Source
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Other ZBW resources 3 RePEc 2
Showing 1 - 5 of 5
Cover Image
A Novel Approach for Ontology-Based Feature Vector Generation for Web Text Document Classification
Elhadad, Mohamed K.; Badran, Khaled M.; Salama, Gouda I. - In: International Journal of Software Innovation (IJSI) 6 (2018) 1, pp. 1-10
) is used to represent text documents and the Term Frequency Inverse Document Frequency (TFIDF) is used as a term weighting …
Persistent link: https://www.econbiz.de/10012047803
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Enhanced Frequent Itemsets Based on Topic Modeling in Information Filtering
Wai, Than Than; Aung, Sint Sint - In: International Journal of Software Innovation (IJSI) 5 (2017) 4, pp. 33-43
In order to generate user's information needs from a collection of documents, many term-based and pattern-based approaches have been used in Information Filtering. In these approaches, the documents in the collection are all about one topic. However, user's interests can be diverse and the...
Persistent link: https://www.econbiz.de/10012047800
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A Novel Approach for Ontology-Based Dimensionality Reduction for Web Text Document Classification
Elhadad, Mohamed K.; Badran, Khaled M.; Salama, Gouda I. - In: International Journal of Software Innovation (IJSI) 5 (2017) 4, pp. 44-58
used to represent text documents and the Term Frequency Inverse Document Frequency (TFIDF) is used as a term weighting …
Persistent link: https://www.econbiz.de/10012047801
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Cover Image
Machine Learning-Based Search for Similar Unstructured Text Entries Using Only a Few Positive Samples with Ranking by Similarity
Zizka, Jan; Darena, Frantisek; Svoboda, Arnost - Provozně ekonomická fakulta, Mendelova Univerzita v Brnĕ - 2011
This research was inspired by the procedures that are used by human bibliographic searchers: Given some textual, only 'positive' (interesting) examples, coming from one category find the most similar ones that belong to a relevant topic. The problem of categorization of unlabeled relevant and...
Persistent link: https://www.econbiz.de/10009131112
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A new feature selection method based on support vector machines for text categorisation
Xu, Yaquan; Wang, Haibo - In: International Journal of Data Analysis Techniques and … 3 (2011) 1, pp. 1-20
As a machine intelligence paradigm, the support vector machines (SVMs) have tremendous potential for helping people to classify text document into a fixed number of predefined categories. The purpose of this paper is to discuss a new method of feature selection combined with principal component...
Persistent link: https://www.econbiz.de/10009352810
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