English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

ince decades, several attempts have been made on Web based research particularly based on HTML web pages because of their more availability. But, W3 consortium stated that HTML do not provide a better description of semantic structure of the web page contents, because of its limited pre-defined tags, semi structured data, case sensitivity and so on. To overcome these draw backs, Web developers started to develop Web page(s) on XML, Flash kind of new technologies. It makes a way for new research methods. In this article, we mainly focuses on XML URL classification based on their semantic structure orientation. Experimental results show that proposed method achieves overall accuracy level of 97.36% of classification

XML URL Classification Based on their Semantic Structure Orientation for Web Mining Applications