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

Two well-known databases of semantic relationships between pairs of wordsused in psycholinguistics, feature-based and association-based, are studied ascomplex networks. We propose an algorithm to disentangle feature basedrelationships from free association semantic networks. The algorithm uses therich topology of the free association semantic network to produce a new set ofrelationships between words similar to those observed in feature productionnorms.

A Computational Model to Disentangle Semantic Information Embedded in Word Association Norms