Accuracy of Textual Document Clustering With Semantic Approach: Natural Language Processing with Semantic by the help of WordNet. The accuracy of Clustering is assured by F-Measure - Couverture souple
Synopsis
Now the age of information technology, textual document is spontaneously increasing over the internet, e-mail, web pages, offline & online reports, journals, articles and those are stored in the electronic database format. Millions of new text file created in a day, for the lackings of classification, people miss vast information those are useful to several challenges. To maintain and access those documents are very difficult without adequate rating and when there has classification without any information provide call clustering. To overcome such difficulties K-means and others old clustering algorithms are unfit to impart as may be expected on Natural languages. Because of high-dimensional about texts, the presence of logical structure clues within the texts and novel segmentation techniques have taken advantage of advances in generative topic modeling algorithms, specifically designed to spot questions at intervals text to cipher word topic distributions. So considering the limitation, COBWEB conceptual clustering algorithm applied to the preprocessed data. For ensuring the accuracy of clusters, the f-measure accuracy measuring methods selected for evaluating the clusters.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
Mr. SK Ahammad Fahad achieves his Master’s from Al-Madinah International University (Malaysia). He earned a Bachelor's degree at IBAIS University (Bangladesh). Currently, he is working in Natural Language Processing with semantics and lexicon database on different Languages.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Accuracy of Textual Document Clustering With Semantic Approach
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LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10 : 6133991720
ISBN 13 : 9786133991729
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Accuracy of Textual Document Clustering With Semantic Approach
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LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 6133991720
ISBN 13 : 9786133991729
Neuf
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Accuracy of Textual Document Clustering With Semantic Approach: Natural Language Processing with Semantic by the help of WordNet. The accuracy of Clustering is assured by F-Measure
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LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 6133991720
ISBN 13 : 9786133991729
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Accuracy of Textual Document Clustering With Semantic Approach
Edité par
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10 : 6133991720
ISBN 13 : 9786133991729
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Now the age of information technology, textual document is spontaneously increasing over the internet, e-mail, web pages, offline & online reports, journals, articles and those are stored in the electronic database format. Millions of new text file created in a day, for the lackings of classification, people miss vast information those are useful to several challenges. To maintain and access those documents are very difficult without adequate rating and when there has classification without any information provide call clustering. To overcome such difficulties K-means and others old clustering algorithms are unfit to impart as may be expected on Natural languages. Because of high-dimensional about texts, the presence of logical structure clues within the texts and novel segmentation techniques have taken advantage of advances in generative topic modeling algorithms, specifically designed to spot questions at intervals text to cipher word topic distributions. So considering the limitation, COBWEB conceptual clustering algorithm applied to the preprocessed data. For ensuring the accuracy of clusters, the f-measure accuracy measuring methods selected for evaluating the clusters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. N° de réf. du vendeur 9786133991729
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Accuracy of Textual Document Clustering With Semantic Approach : Natural Language Processing with Semantic by the help of WordNet. The accuracy of Clustering is assured by F-Measure
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ISBN 10 : 6133991720
ISBN 13 : 9786133991729
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Accuracy of Textual Document Clustering With Semantic Approach | Natural Language Processing with Semantic by the help of WordNet. The accuracy of Clustering is assured by F-Measure
Edité par
LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6133991720
ISBN 13 : 9786133991729
Neuf
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Taschenbuch. Etat : Neu. Accuracy of Textual Document Clustering With Semantic Approach | Natural Language Processing with Semantic by the help of WordNet. The accuracy of Clustering is assured by F-Measure | S. K. Ahammad Fahad | Taschenbuch | 144 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786133991729 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 110944266
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