The notebooks show the code to generate and visualise the Emotion Arcs and Character Arcs of Fictional Narratives for the novels found on Project Gutenberg. The novels used as the dataset are shown in the table below:
| Book ID | Title |
|---|---|
| 486 | Ozma of Oz |
| 420 | Dorothy and the Wizard in Oz |
| 485 | The Road to Oz |
| 956 | Tik-Tok of Oz |
| 957 | The Scarecrow of Oz |
| 958 | Rinkitink in Oz |
| 960 | The Tin Woodman of Oz |
| 419 | The Magic of Oz |
| 961 | Glinda of Oz |
Emotion Arc generation was researched in Reagan and Dodds (2016).
The pipeline for Character Arc generation was researched in Brahman and Chaturvedi (2020) and Elsner (2012). Information related to Named Entity and Coreference Resolution for resolving multiple entities was presented by Duval and De L ́es ́eleuc (2020).
[1] Mitchell L. Kiley D. Danforth C.M. Reagan, A.J. and P.S. Dodds (2016). The emotional arcs of stories are dominated by six basic shapes. EPJ Data Sci. 5, 31 (2016).
[2] Faeze Brahman and Snigdha Chaturvedi (2020). Modeling protagonist emotions for emotion-aware storytelling.
[3] Micha Elsner (2012). Character-based kernels for novelistic plot structure. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 634–644.
[4] Alexandre Duval and Ga ̈el De L ́es ́eleuc (2020). Novel comprehension via a dynamic social network of characters.