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

In community question-answering platforms, tags play essential roles ineffective information organization and retrieval, better question routing,faster response to questions, and assessment of topic popularity. Hence,automatic assistance for predicting and suggesting tags for posts is of highutility to users of such platforms. To develop better tag prediction acrossdiverse communities and domains, we performed a thorough analysis of users'tagging behavior in 17 StackExchange communities. We found various commoninherent properties of this behavior in those diverse domains. We used thefindings to develop a flexible neural tag prediction architecture, whichpredicts both popular tags and more granular tags for each question. Ourextensive experiments and obtained performance show the effectiveness of ourmodel

Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users