---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# Singapore_BERTopic

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("sneakykilli/Singapore_BERTopic")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 10
* Number of training documents: 160

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | airline - airlines - flights - refund - flight | 6 | -1_airline_airlines_flights_refund | 
| 0 | airline - airlines - flights - singapore - meals | 31 | 0_airline_airlines_flights_singapore | 
| 1 | refund - airline - airlines - complaint - singapore | 43 | 1_refund_airline_airlines_complaint | 
| 2 | baggage - luggage - airlines - airline - bags | 20 | 2_baggage_luggage_airlines_airline | 
| 3 | airlines - passengers - seats - flight - cabin | 14 | 3_airlines_passengers_seats_flight | 
| 4 | refund - repayment - sia - customer - complaints | 11 | 4_refund_repayment_sia_customer | 
| 5 | airlines - airline - fees - singapore - flights | 10 | 5_airlines_airline_fees_singapore | 
| 6 | refund - airline - cancellation - booking - cancel | 9 | 6_refund_airline_cancellation_booking | 
| 7 | miles - airlines - airline - mileage - loyalty | 9 | 7_miles_airlines_airline_mileage | 
| 8 | airline - flight - reviews - booking - customer | 7 | 8_airline_flight_reviews_booking |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: None
* low_memory: False
* min_topic_size: 5
* n_gram_range: (1, 1)
* nr_topics: None
* seed_topic_list: None
* top_n_words: 10
* verbose: False
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 1.24.3
* HDBSCAN: 0.8.33
* UMAP: 0.5.5
* Pandas: 2.0.3
* Scikit-Learn: 1.2.2
* Sentence-transformers: 2.3.1
* Transformers: 4.36.2
* Numba: 0.57.1
* Plotly: 5.16.1
* Python: 3.10.12