23 citations · 33 across the 3 of their papers we have counts for
3 papers
Controversy Detection: a Text and Graph Neural Network Based Approach
Samy Benslimane, Jérome Azé, Sandra Bringay +2
Controversial content refers to any content that attracts both positive and negative feedback. Its automatic identification, especially on social media, is a challenging task as it…
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations
Waleed Ragheb, Jérôme Azé, Sandra Bringay +1
This paper addresses the problem of modeling textual conversations and detecting emotions. Our proposed model makes use of 1) deep transfer learning rather than the classical shall…
Preference Learning in Terminology Extraction: A ROC-based approach
Jérôme Azé, Mathieu Roche, Yves Kodratoff +1
A key data preparation step in Text Mining, Term Extraction selects the terms, or collocation of words, attached to specific concepts. In this paper, the task of extracting relevan…