#topic-modeling2 articles

2 articles

AINeutralarXiv – CS AI · 5h ago

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TopicENA: Enabling Epistemic Network Analysis at Scale through Automated Topic-Based Coding

TopicENA is a new framework that combines BERTopic with Epistemic Network Analysis to automatically analyze concept relationships in large text datasets without manual coding. The research demonstrates that automated topic modeling can replace expert manual coding while maintaining analytical quality, making network analysis scalable for large corpora.

AINeutralarXiv – CS AI · 5h ago

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CzechTopic: A Benchmark for Zero-Shot Topic Localization in Historical Czech Documents

Researchers have created CzechTopic, a new benchmark dataset for evaluating AI models' ability to identify specific topics within historical Czech documents. The study compared various large language models and BERT-based models, finding significant performance variations with the strongest models approaching human-level accuracy in topic detection.