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

Silva, Bárbara Barbosa Claudino da. Personality traits recognition through texts. 2018. 98 p. Dissertation (Master of Science) – School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, 2018. We present a research proposal in the Natural Language Processing field, to recognize personality through texts in the portuguese language. Using texts from the social network Facebook we built a corpus labeled with authors Big-5 personality traits, and after identifying the most relevant atributes to recognize personality, we built computational models based on those attributes. The model was expected to recognize personality without the help of any other methods commonly used in this task, such as inventories or interviews with psychologists. Using lexical methods such as the LIWC dictionary or psycholinguistic attributes, and methods from the text itself, such as bag of words, distributed representation of words and documents, we obtained models for personality recognition without the need of other methods most commonly used for this task. The results of distributed representation methods are slightly better than the results using the LIWC dictionary, with the advantage of not requiring features dependent on a specific language.

Reconhecimento de traços de personalidade com base em textos