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(Tutorial for recognition in the course of emotions and happy ends in Python)
(Tutorial for recognition of emotional progress and happy ends in python)
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=Tutorial for recognition of emotional progress and happy ends in python=
 
=Tutorial for recognition of emotional progress and happy ends in python=
The linked '''[https://gitlab2.informatik.uni-wuerzburg.de/kallimachos/narrative-techniken/tree/master GitLab-Repository]''' offers a tutorial for the use of Python code developed by the study group ''narrative methods''  within the scope of KALLIMACHOS (Stand: April 2017).  
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The linked '''[https://gitlab2.informatik.uni-wuerzburg.de/kallimachos/narrative-techniken/tree/master GitLab-Repository]''' offers a tutorial for the use of Python code developed by the study group ''narrative methods''  within the scope of the KALLIMACHOS project (Date: April 2017).  
  
 
The repository includes comprehensive explanations especially for two of the methods developed for the use case.
 
The repository includes comprehensive explanations especially for two of the methods developed for the use case.
  
* The [https://gitlab2.informatik.uni-wuerzburg.de/kallimachos/narrative-techniken/blob/master/demo/Erkennung_von_Happy_Ends_in_Romanen.md Tutorial for recognition of happy endings in novels] enables the reproduction of classification of happy ends and offers exact analysis to some of the used features.
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* The [https://gitlab2.informatik.uni-wuerzburg.de/kallimachos/narrative-techniken/blob/master/demo/Erkennung_von_Happy_Ends_in_Romanen.md Tutorial for recognition of happy endings in novels] elaborates on the classification of happy ends and offers exact analysis to some of the used textual features.
* The [https://gitlab2.informatik.uni-wuerzburg.de/kallimachos/narrative-techniken/blob/master/demo/Verlauf_von_Emotionen_in_Romanen.md Tutorial for course of emotions in novels] offers visualisations in the course of emotions and proceedings beyond a novel, what were used as an intermediate step to the point of classification, but can also use for the qualitative description of the proceeding of emotions.
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* The [https://gitlab2.informatik.uni-wuerzburg.de/kallimachos/narrative-techniken/blob/master/demo/Verlauf_von_Emotionen_in_Romanen.md Tutorial for course of emotions in novels] offers visualisations for the course of emotions in a novel. This emotional flow is used as an intermediate step for the classification of happy endings, but can also be used for further analysis of the novel.
  
 
[[File:Polaritaetsverlauf.png | 600px | link= |center| alt= Darstellung des emotionalen Polaritätsverlaufs im Roman "Das Goldmacherdorf" über 75 Segmente. Deutlich lässt sich ein genereller Anstieg der Emotionen erkennen, aber auch ein kurzzeitiger Abfall in der late-main-Sektion.]]
 
[[File:Polaritaetsverlauf.png | 600px | link= |center| alt= Darstellung des emotionalen Polaritätsverlaufs im Roman "Das Goldmacherdorf" über 75 Segmente. Deutlich lässt sich ein genereller Anstieg der Emotionen erkennen, aber auch ein kurzzeitiger Abfall in der late-main-Sektion.]]
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{{Sprachauswahl|Tutorial for recognition of emotional progress and happy ends in python (en)|Tutorial zur Erkennung von Emotionsverläufen und Happy Ends in Python}}
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{{Sprachauswahl|Tutorial for recognition of emotional progress and happy ends in python (en)|Tutorial_Emotionsverläufe_und_Happy_Ends}}

Version vom 5. September 2017, 09:44 Uhr

Tutorial for recognition of emotional progress and happy ends in python

The linked GitLab-Repository offers a tutorial for the use of Python code developed by the study group narrative methods within the scope of the KALLIMACHOS project (Date: April 2017).

The repository includes comprehensive explanations especially for two of the methods developed for the use case.

 Darstellung des emotionalen Polaritätsverlaufs im Roman "Das Goldmacherdorf" über 75 Segmente. Deutlich lässt sich ein genereller Anstieg der Emotionen erkennen, aber auch ein kurzzeitiger Abfall in der late-main-Sektion.


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