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

# transformers_amazon_reviews_topics

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("inesbattah/transformers_amazon_reviews_topics")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 30
* Number of training documents: 9000

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | amazon - quality - product - cheap - seller | 10 | -1_amazon_quality_product_cheap | 
| 0 | refund - ordered - order - delivered - return | 3105 | 0_refund_ordered_order_delivered | 
| 1 | charging - charger - charge - iphone - headphones | 1556 | 1_charging_charger_charge_iphone | 
| 2 | wear - shoe - shoes - zipper - fit | 655 | 2_wear_shoe_shoes_zipper | 
| 3 | shampoo - conditioner - scent - flavor - hair | 635 | 3_shampoo_conditioner_scent_flavor | 
| 4 | protector - protectors - screen - case - cases | 452 | 4_protector_protectors_screen_case | 
| 5 | color - colors - colored - blue - black | 293 | 5_color_colors_colored_blue | 
| 6 | bottle - leak - leaking - bottles - leaks | 234 | 6_bottle_leak_leaking_bottles | 
| 7 | lights - light - bulbs - flashlight - led | 209 | 7_lights_light_bulbs_flashlight | 
| 8 | dog - toy - dogs - puppy - chewed | 205 | 8_dog_toy_dogs_puppy | 
| 9 | chairs - chair - assemble - screws - assembling | 192 | 9_chairs_chair_assemble_screws | 
| 10 | cheap - cheaply - material - quality - cost | 181 | 10_cheap_cheaply_material_quality | 
| 11 | book - books - chapters - chapter - author | 180 | 11_book_books_chapters_chapter | 
| 12 | hose - faucet - pump - valve - leak | 167 | 12_hose_faucet_pump_valve | 
| 13 | pan - pans - pancakes - griddle - cook | 127 | 13_pan_pans_pancakes_griddle | 
| 14 | dvd - dvds - disc - discs - cd | 114 | 14_dvd_dvds_disc_discs | 
| 15 | fit - fitting - didnt - galaxy - samsung | 109 | 15_fit_fitting_didnt_galaxy | 
| 16 | razor - shave - razors - reviews - blades | 97 | 16_razor_shave_razors_reviews | 
| 17 | cartridges - cartridge - ink - printer - printing | 97 | 17_cartridges_cartridge_ink_printer | 
| 18 | watches - watch - clocks - clock - battery | 88 | 18_watches_watch_clocks_clock | 
| 19 | remote - remotes - buttons - button - programmed | 78 | 19_remote_remotes_buttons_button | 
| 20 | seeds - seed - planted - planting - germinated | 43 | 20_seeds_seed_planted_planting | 
| 21 | thermometer - temperature - temperatureoff - temps - temp | 36 | 21_thermometer_temperature_temperatureoff_temps | 
| 22 | instructions - directions - how - installation - cheap | 34 | 22_instructions_directions_how_installation | 
| 23 | pistol - holster - gun - glock19 - glock | 29 | 23_pistol_holster_gun_glock19 | 
| 24 | tire - tires - tube - bike - wheel | 20 | 24_tire_tires_tube_bike | 
| 25 | snoring - snorkeling - snore - snorkel - snores | 17 | 25_snoring_snorkeling_snore_snorkel | 
| 26 | rugs - carpets - carpet - rug - floors | 13 | 26_rugs_carpets_carpet_rug | 
| 27 | waterproof - wet - swimming - bathing - raining | 12 | 27_waterproof_wet_swimming_bathing | 
| 28 | fan - squealing - noise - fans - quiet | 12 | 28_fan_squealing_noise_fans |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: english
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: 30
* seed_topic_list: None
* top_n_words: 10
* verbose: True
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 1.26.4
* HDBSCAN: 0.8.39
* UMAP: 0.5.7
* Pandas: 2.2.2
* Scikit-Learn: 1.5.2
* Sentence-transformers: 3.2.1
* Transformers: 4.44.2
* Numba: 0.60.0
* Plotly: 5.24.1
* Python: 3.10.12