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

The set of interpersonal relationships on a social network service or asimilar online community is usually highly heterogenous. The concept of tiestrength captures only one aspect of this heterogeneity. Since the unstructuredtext content of online communication artefacts is a salient source ofinformation about a social relationship, we investigate the utility of keywordsextracted from the message body as a representation of the relationship'scharacteristics as reflected by the conversation topics. Keyword extraction isperformed using standard natural language processing methods. Communicationdata and human assessments of the extracted keywords are obtained from Facebookusers via a custom application. The overall positive quality assessmentprovides evidence that the keywords indeed convey relevant information aboutthe relationship.

An evaluation of keyword extraction from online communication for the characterisation of social relations