topic_model = BERTopic( embedding_model=embedding_model,# Step 1 - Extract embeddingsumap_model=umap_model,# Step 2 - Reduce dimensionalityhdbscan_model=hdbscan_model,# Step 3 - Cluster reduced embeddingsvectorizer_model=vectorizer_model,# Step 4 - Tokenize topicsctfidf_model=ctfidf_model,# S...
583 - BERTopic - Transformed documents to Embeddings2021-10-28 12:11:34,582 - BERTopic - Reduced dimensionality with UMAP2021-10-28 12:11:34,718 - BERTopic - Clustered UMAP embeddings with HDBSCANCPU times: user 1min 50s, sys: 7.7 s, total: 1min 57sWall time: 1min 43s...
Document clustering 使用umap降维,使用hdbscan聚类 使用hdbscan的原因是"a cluster will not always lie within a sphere around a cluster centroid" fromumapimportUMAPfromhdbscanimportHDBSCAN umap_model=UMAP(n_neighbors=15,n_components=5,min_dist=0.0,metric='cosine',random_state=42)hdbscan_model=HDBSCAN(...
Reducing dimensionalityof embeddings Clusteringreduced embeddings into topics Tokenizationof topics Weighttokens Represent topicswith one ormultiplerepresentations Functionality BERTopic has many functions that quickly can become overwhelming. To alleviate this issue, you will find an overview of all methods and...
the (pre-dimensionality reduction) document/image embeddings or the reduced representations (e.g., the 5-dimensional PC representation after applying PCA with n_components=5). Option 1 would be like: embeddings = topic_model.embedding_model.embed(docs) silhouette_score(X=embeddings, labels=topic_...
At first sight, these approaches have many aspects in common, like finding automatically the number of topics, no necessity of pre-processing in most of cases, the application of UMAP to reduce the dimensionality of document embeddings and, then, HDBSCAN is used for modelling these reduced docume...
The dimensionality of the document embeddings is then reduced with the help of Uniform Manifold Approxima- tion and Projection (UMAP) (Grootendorst, 2022). Finally, clustering algorithms such as k-Means or Hierarchical Den- sity-Based Spatial Clustering of Applications with Noise (HDBSCAN) can ...
使用这些文档应该可行，因为10K通常不是很多。这似乎与HDBSCAN有关，但我以前没有遇到过这个问题。您有...
我使用以下函数设置我的日志记录。我可以得到自己的日志以及sentence_transformers中的日志，但从BERTopic中...
2024-10-22 13:49:12,464 - BERTopic - Dimensionality - Fitting the dimensionality reduction algorithm 2024-10-22 13:49:16,580 - BERTopic - Dimensionality - Completed ✓ 2024-10-22 13:49:16,581 - BERTopic - Cluster - Start clustering the reduced embeddings ...