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bertopic-german-mails-small
TheItCrOw/bertopic-german-mails-small
bertopic-german-mails-small is a text classification model from TheItCrOw. Use it when you need a label for a piece of text. It is set up for bertopic.
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
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At a glance
- Task
- Text Classification
- Library
- bertopic
- Access
- Public
- Created
- Aug 26, 2025
- Updated
- Aug 26, 2025
- SHA
- 1bc72fb2
Try a prompt
Model card
From the Hugging Face model README
bertopic-german-mails-small
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
To use this model, please install BERTopic:
pip install -U bertopic
You can use the model as follows:
from bertopic import BERTopic
topic_model = BERTopic.load("TheItCrOw/bertopic-german-mails-small")
topic_model.get_topic_info()
Topic overview
- Number of topics: 7
- Number of training documents: 627
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | specificationsheet - der xsl - specs - xsl - parsen | 40 | Fehlermeldung "Fehler beim Parsen der XSL Daten" in der Gewinnkalkulation |
| 0 | mac - die installation - wenden sie sich - wenden sie - wenden | 223 | Interbase SPARQL Server - Installation fehlerhaft |
| 1 | auf den - sie bitte - die bestellnummer - anzeigen - stelle | 137 | Warehouses Prozessverwaltung und -übertragung |
| 2 | fuer - moechte - ueber - freundlichen gruessen - mit freundlichen gruessen | 75 | Softwareprobleme und Support |
| 3 | aktivierungscode - fehlerhaften - 27 - ticket - einer anderen | 65 | Softwarefehler bei Sales First Class |
| 4 | intel - core - ethernet - ghz - solarmobile | 44 | Hardwareprobleme bei der Installation von Sales First Class |
| 5 | build exception - build - project build exception - disc project build - project build | 43 | Brennvorgänge mit Build-Exception-Fehlern |
Training hyperparameters
- calculate_probabilities: True
- language: None
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: None
- seed_topic_list: None
- top_n_words: 10
- verbose: True
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 2.2.6
- HDBSCAN: 0.8.40
- UMAP: 0.5.9.post2
- Pandas: 2.3.2
- Scikit-Learn: 1.7.1
- Sentence-transformers: 5.1.0
- Transformers: 4.55.4
- Numba: 0.61.2
- Plotly: 6.3.0
- Python: 3.12.0
- Task
- Text Classification
- Library
- bertopic
- Created
- Aug 26, 2025
- Updated
- Aug 26, 2025