LLMs achieve 98.22% accuracy answering factual questions about ROS2 software architectures, with top models reaching 100%.
A topic modeling com- parison between LDA, NMF, Top2Vec, and BERTopic to demystify Twitter posts.Frontiers in Sociology, 7: 886498
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 3verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
TikTok mental health discourse during awareness months features stable topics with negative video sentiment on emotional themes, more positive comments especially on suicide prevention, and low overall toxicity with topic-specific outliers in comments.
Comparative study of VRChat Discord finds distinct engagement, response dynamics, and attitudes in human versus AI support channels.
citing papers explorer
-
Can Large Language Models Assist the Comprehension of ROS2 Software Architectures?
LLMs achieve 98.22% accuracy answering factual questions about ROS2 software architectures, with top models reaching 100%.
-
The Tone of Awareness: Topic, Sentiment, and Toxicity Maps During Mental Health Month on TikTok
TikTok mental health discourse during awareness months features stable topics with negative video sentiment on emotional themes, more positive comments especially on suicide prevention, and low overall toxicity with topic-specific outliers in comments.
-
Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns
Comparative study of VRChat Discord finds distinct engagement, response dynamics, and attitudes in human versus AI support channels.