Conceptual Semantic Model for Web Document Clustering Using Term Frequency
Term analysis is the key objective of most of the methods under text mining, here term analysis either refers to a word or a phrase. Determination of the documents subject is another important task to be performed by the semantic based method; this is done by identifying those expressions that rese...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2018-09-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/ew/article/view/966 |
| _version_ | 1811329561598623744 |
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| author | Dr. N. Krishnaraj Dr P Kiran Kumar Sri K Subhash Bhagavan |
| author_facet | Dr. N. Krishnaraj Dr P Kiran Kumar Sri K Subhash Bhagavan |
| author_sort | Dr. N. Krishnaraj |
| collection | DOAJ |
| description |
Term analysis is the key objective of most of the methods under text mining, here term analysis either refers to a word or a phrase. Determination of the documents subject is another important task to be performed by the semantic based method; this is done by identifying those expressions that resemble the semantics of a sentence. This model in general is called as the mining model and it is exclusively used to identify either the words or the expressions in a document on each and every specific sentence, this identification can also be done at the core level. As far as a group of documents is concerned the proposed method is capable of identifying the similar concepts among them; this identification is done by analysing the sentence semantics among the documents. The prime focus is to improve the quality of the web document clustering method, this is done by analysing the semantics of the sentences efficiently and thereafter organising the same effectively.
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| first_indexed | 2024-04-13T15:47:08Z |
| format | Article |
| id | doaj.art-0a31f5c089b044d59471c75b49e1f1aa |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-04-13T15:47:08Z |
| publishDate | 2018-09-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-0a31f5c089b044d59471c75b49e1f1aa2022-12-22T02:40:57ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2018-09-0152010.4108/eai.12-9-2018.155744Conceptual Semantic Model for Web Document Clustering Using Term FrequencyDr. N. Krishnaraj0Dr P Kiran Kumar1Sri K Subhash Bhagavan2Sasi Institute of Technology and EngineeringSasi Institute of Technology and EngineeringSasi Institute of Technology and Engineering Term analysis is the key objective of most of the methods under text mining, here term analysis either refers to a word or a phrase. Determination of the documents subject is another important task to be performed by the semantic based method; this is done by identifying those expressions that resemble the semantics of a sentence. This model in general is called as the mining model and it is exclusively used to identify either the words or the expressions in a document on each and every specific sentence, this identification can also be done at the core level. As far as a group of documents is concerned the proposed method is capable of identifying the similar concepts among them; this identification is done by analysing the sentence semantics among the documents. The prime focus is to improve the quality of the web document clustering method, this is done by analysing the semantics of the sentences efficiently and thereafter organising the same effectively. https://publications.eai.eu/index.php/ew/article/view/966ClusteringSemantic ModelText MiningTerm Frequency |
| spellingShingle | Dr. N. Krishnaraj Dr P Kiran Kumar Sri K Subhash Bhagavan Conceptual Semantic Model for Web Document Clustering Using Term Frequency EAI Endorsed Transactions on Energy Web Clustering Semantic Model Text Mining Term Frequency |
| title | Conceptual Semantic Model for Web Document Clustering Using Term Frequency |
| title_full | Conceptual Semantic Model for Web Document Clustering Using Term Frequency |
| title_fullStr | Conceptual Semantic Model for Web Document Clustering Using Term Frequency |
| title_full_unstemmed | Conceptual Semantic Model for Web Document Clustering Using Term Frequency |
| title_short | Conceptual Semantic Model for Web Document Clustering Using Term Frequency |
| title_sort | conceptual semantic model for web document clustering using term frequency |
| topic | Clustering Semantic Model Text Mining Term Frequency |
| url | https://publications.eai.eu/index.php/ew/article/view/966 |
| work_keys_str_mv | AT drnkrishnaraj conceptualsemanticmodelforwebdocumentclusteringusingtermfrequency AT drpkirankumar conceptualsemanticmodelforwebdocumentclusteringusingtermfrequency AT sriksubhashbhagavan conceptualsemanticmodelforwebdocumentclusteringusingtermfrequency |