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

Embeddings of words and concepts capture syntactic and semantic regularitiesof language; however, they have seen limited use as tools to studycharacteristics of different corpora and how they relate to one another. Weintroduce TextEssence, an interactive system designed to enable comparativeanalysis of corpora using embeddings. TextEssence includes visual,neighbor-based, and similarity-based modes of embedding analysis in alightweight, web-based interface. We further propose a new measure of embeddingconfidence based on nearest neighborhood overlap, to assist in identifyinghigh-quality embeddings for corpus analysis. A case study on COVID-19scientific literature illustrates the utility of the system. TextEssence isavailable from https://github.com/drgriffis/text-essence.

TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora