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Dynamic News Extraction Algorithm


Affiliations
1 B. S. Anangpuria Institute of Technology and Management, Faridabad, India
2 Amity University, Noida, India
3 Amity School of Computer Sciences, Noida, India
     

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Web has become a great source for news information. Various studies have been devoted to news extraction to find relevant and interesting news article from the large database. Database is also day by day updated with news articles. Earlier greedy approach for extraction of news article following a heuristic approach is used. In this paper we are presenting a novel framework for extracting information found in news articles that are issued in large volumes and which cover similar concepts or issues within a given domain using a dynamic approach. The purpose of dynamic news extraction is to provide an easy and effective accessibility of relevant news articles.

Keywords

Extraction, Algorithm, Mining, Dynamic Approach, News Extraction
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  • Dynamic News Extraction Algorithm

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Authors

Prerna
B. S. Anangpuria Institute of Technology and Management, Faridabad, India
Sanjay Singh
Amity University, Noida, India
Smriti Sharma
B. S. Anangpuria Institute of Technology and Management, Faridabad, India
Monika Jena
Amity School of Computer Sciences, Noida, India

Abstract


Web has become a great source for news information. Various studies have been devoted to news extraction to find relevant and interesting news article from the large database. Database is also day by day updated with news articles. Earlier greedy approach for extraction of news article following a heuristic approach is used. In this paper we are presenting a novel framework for extracting information found in news articles that are issued in large volumes and which cover similar concepts or issues within a given domain using a dynamic approach. The purpose of dynamic news extraction is to provide an easy and effective accessibility of relevant news articles.

Keywords


Extraction, Algorithm, Mining, Dynamic Approach, News Extraction

References