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/

Zendy Plus

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

Zendy Tools

Zendy Open

The amount of data freely available from social networking grows on an hourly basis. Much of this data concerns consumers perceptions and opinions of organizations, and as such is of interest to business intelligence gatherers in marketing, for customer relationship management and customer retention. With the use of soft computing, specifically fuzzy logic, it will be possible to design, create and build social bots that can analyse consumer comments in social media networks. Further programming would allow these social bots to interact with consumers, and carefully produced social bots would be able to disseminate marketing campaigns. This paper proposes a model for sentiment analysis of social media network data.

Applying fuzzy logic for sentiment analysis of social media network data in marketing