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

Faced with the massive user' s comment of APP software , there are different results of comment focus , ex pression style and emotional tendency for different users. These differences bring difficulties to the user behavior analysis and the quality evaluation of the APP software. This paper presented a method to analyze APP software' s user com ment patterns. At first , the relationships between user' s comment information and APP software information are ana lyzed. The user' s comment information is classified based on the comment feature of APP software. Then the combina tion of part-of-speech for each type of user' s comment information is analyzed. After calculating the emotional tendency degree of user' s comment information , the user' s comment patterns are analyzed. Finally , the experimental results show that the method is effective.

APP软件的用户评论模式分析方法 (Analytical Method for APP Software's User Comment Patterns).