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

Users with large text collections are often faced with one of two problems; either they wish to retrieve a semanticallyrelevant subset of data from the collection for further scrutiny (needle-in-a-haystack) or they wish to glean a high-level understanding of how a subset compares to the parent corpus in the context of aforementioned semantic dimensions (forestfor-the-trees). In this paper, I describe MUCK 1 , an open-source toolkit that addresses both of these problems through a distributed text processing engine with an interactive visualization interface.

MUCK: A toolkit for extracting and visualizing semantic dimensions of large text collections