yelpreview_base

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("Ayomidedeji/yelpreview_base")

topic_model.get_topic_info()

Topic overview

• Number of topics: 98
• Number of training documents: 10000

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	food - good - place - great - like	10	-1_food_good_place_great
0	mexican - tacos - salsa - burrito - food	3827	0_mexican_tacos_salsa_burrito
1	pizza - crust - pizzas - good - wait	705	1_pizza_crust_pizzas_good
2	bar - music - drinks - night - place	393	2_bar_music_drinks_night
3	burger - fries - burgers - good - like	288	3_burger_fries_burgers_good
4	ordered - just - bread - good - chicken	275	4_ordered_just_bread_good
5	sushi - roll - rolls - happy hour - happy	261	5_sushi_roll_rolls_happy hour
6	scottsdale - place - great - bar - food	191	6_scottsdale_place_great_bar
7	coffee - starbucks - coffee shop - shop - espresso	190	7_coffee_starbucks_coffee shop_shop
8	hotel - pool - room - stay - resort	186	8_hotel_pool_room_stay
9	minutes - table - server - asked - came	183	9_minutes_table_server_asked
10	chinese - chinese food - food - asian - china	145	10_chinese_chinese food_food_asian
11	thai - pad - curry - pad thai - thai food	131	11_thai_pad_curry_pad thai
12	beer - beers - peaks - brewery - craft	131	12_beer_beers_peaks_brewery
13	breakfast - eggs - pancakes - toast - french toast	115	13_breakfast_eggs_pancakes_toast
14	pho - vietnamese - spring rolls - spring - broth	104	14_pho_vietnamese_spring rolls_spring
15	bbq - brisket - ribs - sauce - pork	94	15_bbq_brisket_ribs_sauce
16	theater - movie - seats - movies - theaters	84	16_theater_movie_seats_movies
17	food - place - great - lunch - love	82	17_food_place_great_lunch
18	hair - cut - salon - haircut - barber	81	18_hair_cut_salon_haircut
19	great - valentine - food - patio - valentine day	78	19_great_valentine_food_patio
20	service - food - server - servers - food service	71	20_service_food_server_servers
21	clothes - shoes - store - nordstrom - pair	69	21_clothes_shoes_store_nordstrom
22	gym - classes - yoga - fitness - workout	67	22_gym_classes_yoga_fitness
23	phoenix - food - durant - restaurant - good	66	23_phoenix_food_durant_restaurant
24	italian - pasta - italian food - restaurant - best	65	24_italian_pasta_italian food_restaurant
25	sandwich - sandwiches - bread - sacks - al	64	25_sandwich_sandwiches_bread_sacks
26	airport - flight - terminal - sky harbor - harbor	64	26_airport_flight_terminal_sky harbor
27	yogurt - frozen yogurt - flavors - frozen - toppings	64	27_yogurt_frozen yogurt_flavors_frozen
28	nails - nail - manicure - pedicure - gel	62	28_nails_nail_manicure_pedicure
29	car - auto - warranty - repair - new	61	29_car_auto_warranty_repair
30	trail - hike - park - mountain - view	60	30_trail_hike_park_mountain
31	dr - doctor - office - care - doctors	58	31_dr_doctor_office_care
32	ice - ice cream - cream - flavors - custard	56	32_ice_ice cream_cream_flavors
33	cupcakes - cupcake - cake - frosting - sprinkles	54	33_cupcakes_cupcake_cake_frosting
34	wine - wines - total wine - daniel - bottle	51	34_wine_wines_total wine_daniel
35	vegan - vegetarian - meat - mock - green	45	35_vegan_vegetarian_meat_mock
36	stars - christopher - star - reason - pat	45	36_stars_christopher_star_reason
37	staff - love place - food - great - friendly	45	37_staff_love place_food_great
38	stadium - game - spring training - parking - spring	44	38_stadium_game_spring training_parking
39	sub - subway - subs - jimmy - sandwich	44	39_sub_subway_subs_jimmy
40	indian - indian food - buffet - india - masala	43	40_indian_indian food_buffet_india
41	museum - kids - art - exhibits - exhibit	40	41_museum_kids_art_exhibits
42	donuts - donut - dunkin - bosa - dunkin donuts	40	42_donuts_donut_dunkin_bosa
43	fez - yelp - yelp event - event - yoli	39	43_fez_yelp_yelp event_event
44	vet - dog - animals - pet - dogs	35	44_vet_dog_animals_pet
45	happy hour - happy - hour - great happy - great	35	45_happy hour_happy_hour_great happy
46	steak - steaks - steakhouse - good steak - sides	34	46_steak_steaks_steakhouse_good steak
47	mall - stores - malls - shopping - food court	33	47_mall_stores_malls_shopping
48	phone - store - iphone - camera - customer	33	48_phone_store_iphone_camera
49	massage - spa - therapist - room - massages	33	49_massage_spa_therapist_room
50	dog - dogs - hot dog - hot - beef	33	50_dog_dogs_hot dog_hot
51	dog - pet - dog food - treats - pets	32	51_dog_pet_dog food_treats
52	closed - location closed - open - closed good - business closed	29	52_closed_location closed_open_closed good
53	dentist - dr - dental - teeth - office	29	53_dentist_dr_dental_teeth
54	salad - lunch - sandwich - chicken - dressing	29	54_salad_lunch_sandwich_chicken
55	greek - greek food - pita - gyro - greek restaurant	27	55_greek_greek food_pita_gyro
56	waffles - lo - chicken waffles - chicken - lolo	27	56_waffles_lo_chicken waffles_chicken
57	car - wash - car wash - job - exterior	27	57_car_wash_car wash_job
58	gelato - angel sweet - angel - italy - flavors	27	58_gelato_angel sweet_angel_italy
59	wings - wing - love wings - wild wings - buffalo	26	59_wings_wing_love wings_wild wings
60	tea - boba - teas - drink - milk tea	25	60_tea_boba_teas_drink
61	food - service - great food - great - awesome food	25	61_food_service_great food_great
62	bagel - bagels - cream cheese - lox - cream	25	62_bagel_bagels_cream cheese_lox
63	bruschetta - postino - wine - postinos - bottle	24	63_bruschetta_postino_wine_postinos
64	review - stars - reviews - hotdog - mold	24	64_review_stars_reviews_hotdog
65	foods - fresh easy - trader - easy - grocery	22	65_foods_fresh easy_trader_easy
66	mongolian - mongolian bbq - yc - bowl - bbq	22	66_mongolian_mongolian bbq_yc_bowl
67	service - food - time - horrible - ordered	22	67_service_food_time_horrible
68	course - holes - courses - played - tee	21	68_course_holes_courses_played
69	dog - dogs - park - dog park - active	21	69_dog_dogs_park_dog park
70	books - book - library - bookstore - used books	21	70_books_book_library_bookstore
71	pita - pita jungle - jungle - hummus - lentil	20	71_pita_pita jungle_jungle_hummus
72	pasta - spaghetti - sauce - italian - bread	20	72_pasta_spaghetti_sauce_italian
73	store - office max - prices - max - office	20	73_store_office max_prices_max
74	expensive - good price - food - price - good food	19	74_expensive_good price_food_price
75	thrift - store - goodwill - thrift store - vintage	19	75_thrift_store_goodwill_thrift store
76	safeway - store - grocery - shopping - winco	19	76_safeway_store_grocery_shopping
77	beer - bar - asked - minutes - trout	18	77_beer_bar_asked_minutes
78	japanese - tokyo - japanese food - knife - knives	18	78_japanese_tokyo_japanese food_knife
79	irish - pub - irish pub - fish chips - guinness	16	79_irish_pub_irish pub_fish chips
80	works meh - friendly awesome - ing great - awesome intense - job super	16	80_works meh_friendly awesome_ing great_awesome intense
81	zia - record - cd - stinkweeds - music	15	81_zia_record_cd_stinkweeds
82	tires - tire - discount tire - discount - new tires	14	82_tires_tire_discount tire_discount
83	cheesesteak - wiz - cheesesteaks - forefathers - philly	14	83_cheesesteak_wiz_cheesesteaks_forefathers
84	korean - korean food - kimchi - bbq - dishes	14	84_korean_korean food_kimchi_bbq
85	buffet - buffets - sushi - hong - hong kong	13	85_buffet_buffets_sushi_hong
86	gyro - tzatziki - pita - gyros - meat	13	86_gyro_tzatziki_pita_gyros
87	classes - campus - school - teacher - students	13	87_classes_campus_school_teacher
88	romantic - love love - whinings excellent - whinings - live amazing	13	88_romantic_love love_whinings excellent_whinings
89	patio - service - excellent service - excellent - great service	12	89_patio_service_excellent service_excellent
90	staff - clean staff - clean - selection awesome - friendly	12	90_staff_clean staff_clean_selection awesome
91	lux - coffee - espresso - love space - surfing	12	91_lux_coffee_espresso_love space
92	wine - bottle - glass - bar - maybe	12	92_wine_bottle_glass_bar
93	sushi - roll - ra - sushi bar - seated	12	93_sushi_roll_ra_sushi bar
94	german - schnitzel - murphy - german food - haus	12	94_german_schnitzel_murphy_german food
95	ethiopian - lalibela - injera - watt - lentils	11	95_ethiopian_lalibela_injera_watt
96	store - items - michaels - susan - employee	11	96_store_items_michaels_susan

Training hyperparameters

• calculate_probabilities: True
• language: english
• 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: 1.25.2
• HDBSCAN: 0.8.36
• UMAP: 0.5.6
• Pandas: 2.0.3
• Scikit-Learn: 1.2.2
• Sentence-transformers: 3.0.0
• Transformers: 4.41.1
• Numba: 0.58.1
• Plotly: 5.15.0
• Python: 3.10.12