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 ...

BERTopic is a state-of-the-art topic modeling framework that generates topics by clustering contextualized document embeddings. However, its default clustering algorithm, HDBSCAN, often generates an ...

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 ...

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 publishable results in a single workflow. It brings ...

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 ...