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Research
Latest papers
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network.
Data science and engineering · 2024
Latest funding
- $12,500
Unsupervised Representation Learning and Abstractive Summarization of Stances in Social Media: Towards Explainable Detection Systems for Emerging Rumours
NSERC · 2022 · Principal investigator
- $50,000
Unsupervised Representation Learning and Abstractive Summarization of Stances in Social Media: Towards Explainable Detection Systems for Emerging Rumours
NSERC · 2022 · Principal investigator
1 publications.
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network.
Austin E, Makwana S, Trabelsi A, Largeron C, Zaïane OR
Unsupervised Representation Learning and Abstractive Summarization of Stances in Social Media: Towards Explainable Detection Systems for Emerging Rumours
Principal investigators: Trabelsi, Amine
Unsupervised Representation Learning and Abstractive Summarization of Stances in Social Media: Towards Explainable Detection Systems for Emerging Rumours
Principal investigators: Trabelsi, Amine
Keywords: unsupervised stance detection in social media; unsupervised summarization of contentious text; automatic fact-checking and rumour detection; rumour veracity explanation; social media mining; abstractive summarization; argument mining; natural language processing; text mining; data mining
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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