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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We provide a brief technical description of an online platform for diseasemonitoring, titled as the Flu Detector (fludetector.cs.ucl.ac.uk). FluDetector, in its current version (v.0.5), uses either Twitter or Google searchdata in conjunction with statistical Natural Language Processing models toestimate the rate of influenza-like illness in the population of England. Itsback-end is a live service that collects online data, utilises moderntechnologies for large-scale text processing, and finally applies statisticalinference models that are trained offline. The front-end visualises the variousdisease rate estimates. Notably, the models based on Google data achieve a highlevel of accuracy with respect to the most recent four flu seasons in England(2012/13 to 2015/16). This highlighted Flu Detector as having a great potentialof becoming a complementary source to the domestic traditional flu surveillanceschemes.

Flu Detector: Estimating influenza-like illness rates from online user-generated content