| Title: | Web Page Categorization using RNN Based on URL |
| Authors: | Vaishnav, Pratiksha Kalariya, Ankit |
| Keywords: | Web Classification Web Mining Classification algorithms RNN |
| Issue Date: | Jun-2021 |
| Publisher: | International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) |
| Citation: | Vaishnav, P. ,kalariya, A.(2021).Web Page Categorization using RNN Based on URL. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 6(1), 773-778. SSN (Online) 2581-9429.DOI: 10.48175/568 |
| Abstract: | In this paper, Web page classification is an information retrieval application that provides useful information that can be a basis for many different application domains. Nowadays, the number of web pages on the World Wide Web has been increasing due to the popularity of the Internet usage. The web page classification is needed in order to organize the increasing number of web pages. There are many web page classification techniques that have been proposed by the other researchers. This research is going to simplify this problem through applying web mining techniques. Web page classification, also known as a web page categorization, to classify web pages categories based on URL |
| URI: | http://10.9.150.37:8080/dspace//handle/atmiyauni/955 |
| ISSN: | 2581-9429 |
| Appears in Collections: | 01. Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 713) 12816_Ankit Keshavlal Kalariya.pdf | 290.3 kB | Adobe PDF | View/Open |
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