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/

Global: Zendy Plus annual

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

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Having observed the existing search engines for online information, considering the huge (and unnecessary) amount of search results for each online search, the goal of this research work is to build on an accurate webpage classification technique, by combining feature selection techniques, and pushing the clustering concept to a next step. In this paper, we conducted experiments with various numbers of websites selected by different feature selection algorithms on a well-defined initial set of features and show that by combining some textual classification methods, we do obtain considerable classification accuracy.

The Classification Techniques of Websites for The Case of China-Africa Related Topics