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

As the first step to model emotional state of a person, we build sentimentanalysis models with existing deep neural network algorithms and compare themodels with psychological measurements to enlighten the relationship. In theexperiments, we first examined psychological state of 64 participants and askedthem to summarize the story of a book, Chronicle of a Death Foretold (Marquez,1981). Secondly, we trained models using crawled 365,802 movie review data;then we evaluated participants' summaries using the pretrained model as aconcept of transfer learning. With the background that emotion affects onmemories, we investigated the relationship between the evaluation score of thesummaries from computational models and the examined psychologicalmeasurements. The result shows that although CNN performed the best among otherdeep neural network algorithms (LSTM, GRU), its results are not related to thepsychological state. Rather, GRU shows more explainable results depending onthe psychological state. The contribution of this paper can be summarized asfollows: (1) we enlighten the relationship between computational models andpsychological measurements. (2) we suggest this framework as objective methodsto evaluate the emotion; the real sentiment analysis of a person.

What we really want to find by Sentiment Analysis: The Relationship between Computational Models and Psychological State