topic_model_bert_topic

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("VegetaSama/topic_model_bert_topic")

topic_model.get_topic_info()

Topic overview

• Number of topics: 26
• Number of training documents: 10000

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	place - good - food - great - like	82	-1_place_good_food_great
0	store - like - car - just - great	3133	0_store_like_car_just
1	mexican - tacos - food - salsa - good	876	1_mexican_tacos_food_salsa
2	good - ordered - just - food - cheese	725	2_good_ordered_just_food
3	pizza - good - crust - place - great	568	3_pizza_good_crust_place
4	food - great - place - good - service	536	4_food_great_place_good
5	hotel - room - pool - stay - airport	445	5_hotel_room_pool_stay
6	burger - fries - burgers - good - like	370	6_burger_fries_burgers_good
7	hair - dr - massage - nails - time	339	7_hair_dr_massage_nails
8	coffee - starbucks - place - good - like	269	8_coffee_starbucks_place_good
9	scottsdale - food - place - great - good	262	9_scottsdale_food_place_great
10	sushi - roll - rolls - place - good	258	10_sushi_roll_rolls_place
11	minutes - food - table - just - time	241	11_minutes_food_table_just
12	ice - ice cream - cream - cupcakes - cupcake	224	12_ice_ice cream_cream_cupcakes
13	breakfast - pancakes - eggs - good - place	200	13_breakfast_pancakes_eggs_good
14	thai - curry - pad - food - pad thai	199	14_thai_curry_pad_food
15	bbq - phoenix - food - brisket - good	199	15_bbq_phoenix_food_brisket
16	beer - place - great - beers - food	179	16_beer_place_great_beers
17	service - food - good - place - order	152	17_service_food_good_place
18	pho - vietnamese - broth - spring - spring rolls	147	18_pho_vietnamese_broth_spring
19	bar - music - place - night - cool	106	19_bar_music_place_night
20	chinese - chinese food - food - soup - chicken	101	20_chinese_chinese food_food_soup
21	greek - vegan - meat - food - place	100	21_greek_vegan_meat_food
22	theater - movie - seats - movies - amc	99	22_theater_movie_seats_movies
23	chinese - food - chinese food - pei - pei wei	95	23_chinese_food_chinese food_pei
24	bar - good - food - happy - great	95	24_bar_good_food_happy

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: 5
• verbose: True
• 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: 1.3.0
• Sentence-transformers: 2.2.2
• Transformers: 4.32.1
• Numba: 0.58.1
• Plotly: 5.9.0
• Python: 3.11.5