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

This paper is a first attempt at designing a procedure to derive a domain-specific lexicon (both single words and multiword expressions) from an opinion corpus of specialized language. We use a corpus of reviews of running shoes as case study, compiled for this particular purpose. The main goal is to obtain a first approximation to the task of automatically extracting domain-specific expressions of sentiment to be used by our sentiment analysis software, Lingmotif.

Extracting Domain-Specific Features for Sentiment Analysis Using Simple NLP Techniques: Running Shoes Reviews