Abstract
This paper aims at modeling the structure of theater reviews based on contemporary London performances by using text zoning. Text zoning consists in tagging sentences so as to reveal text structure. More than 40 000 theater reviews going from 2010 to 2020 were collected to analyze two different types of reception (journalistic vs digital). We present our annotation scheme and the classifiers used to perform the text zoning task, aiming at tagging reviews at the sentence level. We obtain the best results using the random forest algorithm, and show that this approach makes it possible to give a first insight of the similarities and differences between our two subcorpora.- Anthology ID:
- 2021.nlp4dh-1.16
- Volume:
- Proceedings of the Workshop on Natural Language Processing for Digital Humanities
- Month:
- December
- Year:
- 2021
- Address:
- NIT Silchar, India
- Editors:
- Mika Hämäläinen, Khalid Alnajjar, Niko Partanen, Jack Rueter
- Venue:
- NLP4DH
- SIG:
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 138–143
- Language:
- URL:
- https://aclanthology.org/2021.nlp4dh-1.16
- DOI:
- Cite (ACL):
- Mylene Maignant, Thierry Poibeau, and Gaëtan Brison. 2021. Text Zoning of Theater Reviews: How Different are Journalistic from Blogger Reviews?. In Proceedings of the Workshop on Natural Language Processing for Digital Humanities, pages 138–143, NIT Silchar, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Text Zoning of Theater Reviews: How Different are Journalistic from Blogger Reviews? (Maignant et al., NLP4DH 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2021.nlp4dh-1.16.pdf