A recent study provides evidence that when young people are asked to describe the most important events in their lives, they predominantly focus on positive, everyday milestones rather than major ...

A research framework for evaluating speech transcription quality and its impact on topic modeling. This project analyzes how STT errors propagate to downstream topic extraction tasks. The framework ...

Topica: fast, all-purpose topic modeling for Python topica is a fast topic-modeling library for Python with more than a dozen models, built for social scientists who want to move from text data to ...

Abstract: Topic modeling is widely used for discovering latent topics in text corpora. Long documents, such as research papers, policy reports, and legal texts, often encompass various topics that ...