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Found 7 papers, 2 papers with code
#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention
It is hypothesized that one’s interests in a hashtag are related with what they said before (user history) and the existing posts present the hashtag (hashtag contexts).
Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Fine-Grained Social Emotions to Online Topics
This paper studies social emotions to online discussion topics.
EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries
The dynamic nature of real-world information necessitates efficient knowledge editing (KE) in large language models (LLMs) for knowledge updating.
VIBE: Topic-Driven Temporal Adaptation for Twitter Classification
Language features are evolving in real-world social media, resulting in the deteriorating performance of text classification in dynamics.
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification
Language features are ever-evolving in the real-world social media environment.
Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery
To date, there are no effective treatments for most neurodegenerative diseases.
Engage the Public: Poll Question Generation for Social Media Posts
This paper presents a novel task to generate poll questions for social media posts.
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