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Sentiment Analysis and Stance Detection on German YouTube Comments on Gender Diversity

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Sentiment Analysis and Stance Detection on German YouTube Comments on Gender Diversity

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Melnyk, L.; Feld, L. (2022). Sentiment Analysis and Stance Detection on German YouTube Comments on Gender Diversity. Journal of Computer-Assisted Linguistic Research. 6:59-86. https://doi.org/10.4995/jclr.2022.18224

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/191102

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Title: Sentiment Analysis and Stance Detection on German YouTube Comments on Gender Diversity
Author: Melnyk, Lidiia Feld, Linda
Issued date:
Abstract:
[EN] This paper explores different options of detecting the stance of German YouTube comments regarding the topic of gender diversity and compares the respective results with those of sentiment analysis, showing that these ...[+]
Subjects: Stance detection , Sentiment analysis , BERT , Neural networks , Annotation , YouTube comments , Gender diversity
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Computer-Assisted Linguistic Research. (eissn: 2530-9455 )
DOI: 10.4995/jclr.2022.18224
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/jclr.2022.18224
Type: Artículo

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