Use topic_model.visualize_barchart(topics=[92]) to see the word importance scores (c-TF-IDF).
Are you using or another library like Gensim or Top2Vec ? 92__2_zip
The top 10 keywords (e.g., "software, developer, github, python"). Use topic_model
What is the of the dataset you are using (e.g., news, tweets, medical papers)? What is the of the dataset you are using (e
This cluster primarily consists of documents that discuss . It is distinct from other clusters because of its focus on [Differentiator] . For example, while Topic 90 might focus on general coding, Topic 92__2 specifically targets the [Granular Detail] of the process. Representative Samples "Sample Document 1 snippet..." "Sample Document 2 snippet..." 📂 Handling the .zip File
Real-world examples from the dataset that best embody the topic. 📝 General Write-up Template
Topic 92 in a large-scale model is usually a niche cluster identified through HDBSCAN (the density-based clustering algorithm used by BERTopic). The "write-up" for such a topic typically summarizes what the cluster represents. Key Components of a Topic Write-up: