|
|
|
|
|
--- |
|
|
tags: |
|
|
- bertopic |
|
|
library_name: bertopic |
|
|
pipeline_tag: text-classification |
|
|
--- |
|
|
|
|
|
# rag-topic-model |
|
|
|
|
|
This is a [BERTopic](https://github.com/MaartenGr/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: |
|
|
|
|
|
```python |
|
|
from bertopic import BERTopic |
|
|
topic_model = BERTopic.load("paulperry/rag-topic-model") |
|
|
|
|
|
topic_model.get_topic_info() |
|
|
``` |
|
|
|
|
|
## Topic overview |
|
|
|
|
|
* Number of topics: 6 |
|
|
* Number of training documents: 168 |
|
|
|
|
|
<details> |
|
|
<summary>Click here for an overview of all topics.</summary> |
|
|
|
|
|
| Topic ID | Topic Keywords | Topic Frequency | Label | |
|
|
|----------|----------------|-----------------|-------| |
|
|
| -1 | klarna - for - my - to - the | 11 | -1_klarna_for_my_to | |
|
|
| 0 | klarna - declined - my - in - ve | 58 | 0_klarna_declined_my_in | |
|
|
| 1 | to - payment - the - my - for | 33 | 1_to_payment_the_my | |
|
|
| 2 | my - details - klarna - and - call | 25 | 2_my_details_klarna_and | |
|
|
| 3 | it - store - the - for - ago | 23 | 3_it_store_the_for | |
|
|
| 4 | the - sneakers - they - shoes - ago | 18 | 4_the_sneakers_they_shoes | |
|
|
|
|
|
</details> |
|
|
|
|
|
## Training hyperparameters |
|
|
|
|
|
* calculate_probabilities: False |
|
|
* language: None |
|
|
* low_memory: False |
|
|
* min_topic_size: 10 |
|
|
* n_gram_range: (1, 1) |
|
|
* nr_topics: auto |
|
|
* seed_topic_list: None |
|
|
* top_n_words: 10 |
|
|
* verbose: False |
|
|
* zeroshot_min_similarity: 0.7 |
|
|
* zeroshot_topic_list: None |
|
|
|
|
|
## Framework versions |
|
|
|
|
|
* Numpy: 2.0.2 |
|
|
* HDBSCAN: 0.8.40 |
|
|
* UMAP: 0.5.7 |
|
|
* Pandas: 2.2.3 |
|
|
* Scikit-Learn: 1.6.1 |
|
|
* Sentence-transformers: 3.1.1 |
|
|
* Transformers: 4.45.2 |
|
|
* Numba: 0.60.0 |
|
|
* Plotly: 6.0.0 |
|
|
* Python: 3.9.6 |
|
|
|
