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#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection

Lai, Mirko; Patti, Viviana; Ruffo, Giancarlo; Rosso, Paolo (IOS Press, 2020)

[EN] Interest has grown around the classification of stance that users assume within online debates in recent years. Stance has been usually addressed by considering users posts in isolation, while social studies highlight ...
Dependency Syntax in the Automatic Detection of Irony and Stance

Cignarella, Alessandra Teresa (Universitat Politècnica de València, 2021-11-29)

[ES] The present thesis is part of the broad panorama of studies of Natural Language Processing (NLP). In particular, it is a work of Computational Linguistics (CL) designed to study in depth the contribution of syntax in ...
Multilingual Stance Detection in Social Media Political Debates

Lai, Mirko; Cignarella, Alessandra Teresa; Hernandez-Farias, Delia Irazu; Bosco, Cristina; Patti, Viviana; Rosso, Paolo (Elsevier, 2020-09)

[EN] Stance Detection is the task of automatically determining whether the author of a text is in favor, against, or neutral towards a given target. In this paper we investigate the portability of tools performing this ...
Sentiment Analysis and Stance Detection on German YouTube Comments on Gender Diversity

Melnyk, Lidiia; Feld, Linda (Universitat Politècnica de València, 2022-11-23)

[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 ...

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