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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In the field of marketing, a questionnaire is one of the most important approaches in order to research the market or to design a marketing strategy. On the other hand, people have a variety of individuality recently, then respondents have various impressions to evaluation objects. In the analysis of collected questionnaire data, it is important not only to analyze overall trends but also to discover local groups which have strong impressions but are different from general groups. It is, however, difficult to extract local groups with high similarity by conventional cluster analysis applied to questionnaire data, because they generally aim at extracting general groups or making a rough clustering. In this paper, we propose the extraction method of local groups with high similarity in questionnaire data using the spectral clustering method which considers local similarity and extracts the clusters having less connection to general groups.

Study on Extraction Method of Local Respondents Group with High Similarity in Questionnaire Data