Large Scale Hierarchical Classification
This study elucidates various algorithms used for document or text classification challenge. A sample data is used in this study on which various algorithms like Support Vector Machines (SVM), Naïve Bayes, Neural Networks and K-Nearest Neighbor are used in order to analyze their performances and ac...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2013-12-01
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| Series: | JISR on Computing |
| Subjects: | |
| Online Access: | https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/153 |
| _version_ | 1797742066997919744 |
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| author | Adarsh Khalique Rahim Hasnani |
| author_facet | Adarsh Khalique Rahim Hasnani |
| author_sort | Adarsh Khalique |
| collection | DOAJ |
| description |
This study elucidates various algorithms used for document or text classification challenge. A sample data is used in this study on which various algorithms like Support Vector Machines (SVM), Naïve Bayes, Neural Networks and K-Nearest Neighbor are used in order to analyze their performances and accuracies. This study tries to identify the limitations and strength of these algorithms on the given sample data that how optimally they can perform classification. Different validations are used in this study to examine the accuracies regarding the classification can be identified. Validations include Split-Validation, X-Validation and Bootstrapping. Different ways and methods are discussed through which classification is made possible in large hierarchy. Finally this study concludes on the basis of results obtained that which machine learning technique or classifier performed excellent on the provided sample data set and achieved higher accuracy as compared to others.
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| first_indexed | 2024-03-12T14:35:40Z |
| format | Article |
| id | doaj.art-dbcc94bb724842a58b4ed33c1181c68c |
| institution | Directory Open Access Journal |
| issn | 2412-0448 1998-4154 |
| language | English |
| last_indexed | 2024-03-12T14:35:40Z |
| publishDate | 2013-12-01 |
| publisher | Shaheed Zulfikar Ali Bhutto Institute of Science and Technology |
| record_format | Article |
| series | JISR on Computing |
| spelling | doaj.art-dbcc94bb724842a58b4ed33c1181c68c2023-08-17T06:45:51ZengShaheed Zulfikar Ali Bhutto Institute of Science and TechnologyJISR on Computing2412-04481998-41542013-12-0111210.31645/2013.11.2.3Large Scale Hierarchical ClassificationAdarsh Khalique0Rahim Hasnani1Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi PakistanShaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan This study elucidates various algorithms used for document or text classification challenge. A sample data is used in this study on which various algorithms like Support Vector Machines (SVM), Naïve Bayes, Neural Networks and K-Nearest Neighbor are used in order to analyze their performances and accuracies. This study tries to identify the limitations and strength of these algorithms on the given sample data that how optimally they can perform classification. Different validations are used in this study to examine the accuracies regarding the classification can be identified. Validations include Split-Validation, X-Validation and Bootstrapping. Different ways and methods are discussed through which classification is made possible in large hierarchy. Finally this study concludes on the basis of results obtained that which machine learning technique or classifier performed excellent on the provided sample data set and achieved higher accuracy as compared to others. https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/153Text ClassificationDocument clustering |
| spellingShingle | Adarsh Khalique Rahim Hasnani Large Scale Hierarchical Classification JISR on Computing Text Classification Document clustering |
| title | Large Scale Hierarchical Classification |
| title_full | Large Scale Hierarchical Classification |
| title_fullStr | Large Scale Hierarchical Classification |
| title_full_unstemmed | Large Scale Hierarchical Classification |
| title_short | Large Scale Hierarchical Classification |
| title_sort | large scale hierarchical classification |
| topic | Text Classification Document clustering |
| url | https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/153 |
| work_keys_str_mv | AT adarshkhalique largescalehierarchicalclassification AT rahimhasnani largescalehierarchicalclassification |