test_now / README.md

Add BERTopic model

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

	# test_now

	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/test_now")

	topic_model.get_topic_info()
	```

	## Topic overview

	* Number of topics: 56
	* Number of training documents: 5134

	<details>
	<summary>Click here for an overview of all topics.</summary>

	\| Topic ID \| Topic Keywords \| Topic Frequency \| Label \|
	\|----------\|----------------\|-----------------\|-------\|
	\| -1 \| killiair - flight - service - customer - staff \| 10 \| -1_killiair_flight_service_customer \|
	\| 0 \| bag - luggage - bags - cabin - pay \| 2257 \| 0_bag_luggage_bags_cabin \|
	\| 1 \| cancelled - flight - refund - flights - customer \| 406 \| 1_cancelled_flight_refund_flights \|
	\| 2 \| killiair - killiairs - great - airways - good \| 157 \| 2_killiair_killiairs_great_airways \|
	\| 3 \| worst - cheap - killiair - bad - prices \| 156 \| 3_worst_cheap_killiair_bad \|
	\| 4 \| check - verification - online - killiair - booking \| 142 \| 4_check_verification_online_killiair \|
	\| 5 \| doha - airways - flight - hours - killiair \| 107 \| 5_doha_airways_flight_hours \|
	\| 6 \| delay - delays - delayed - late - hours \| 105 \| 6_delay_delays_delayed_late \|
	\| 7 \| holiday - holidays - hotel - booked - package \| 104 \| 7_holiday_holidays_hotel_booked \|
	\| 8 \| seats - seat - allocated - extra - row \| 92 \| 8_seats_seat_allocated_extra \|
	\| 9 \| ryan - air - check - company - gate \| 89 \| 9_ryan_air_check_company \|
	\| 10 \| check - 55 - online - boarding - pass \| 86 \| 10_check_55_online_boarding \|
	\| 11 \| jet - easy - flight - cancelled - holiday \| 84 \| 11_jet_easy_flight_cancelled \|
	\| 12 \| delayed - time - killiair - delay - flights \| 84 \| 12_delayed_time_killiair_delay \|
	\| 13 \| airport - flight - hours - delayed - plane \| 83 \| 13_airport_flight_hours_delayed \|
	\| 14 \| thank - amazing - crew - thanks - professional \| 63 \| 14_thank_amazing_crew_thanks \|
	\| 15 \| food - meal - dubai - served - crew \| 62 \| 15_food_meal_dubai_served \|
	\| 16 \| refund - ticket - killiair - tickets - request \| 60 \| 16_refund_ticket_killiair_tickets \|
	\| 17 \| luggage - lost - airways - bag - baggage \| 56 \| 17_luggage_lost_airways_bag \|
	\| 18 \| customer - service - terrible - worst - services \| 53 \| 18_customer_service_terrible_worst \|
	\| 19 \| gatwick - flight - delayed - luton - plane \| 53 \| 19_gatwick_flight_delayed_luton \|
	\| 20 \| clean - food - toilets - water - seat \| 49 \| 20_clean_food_toilets_water \|
	\| 21 \| stressstress - stress - star - stars - zero \| 47 \| 21_stressstress_stress_star_stars \|
	\| 22 \| lost - luggage - baggage - suitcase - later \| 45 \| 22_lost_luggage_baggage_suitcase \|
	\| 23 \| seats - seat - paid - legroom - extra \| 40 \| 23_seats_seat_paid_legroom \|
	\| 24 \| car - hire - rental - insurance - card \| 40 \| 24_car_hire_rental_insurance \|
	\| 25 \| stansted - parking - airport - flight - lanzarote \| 39 \| 25_stansted_parking_airport_flight \|
	\| 26 \| service - customer - perfume - killiair - company \| 33 \| 26_service_customer_perfume_killiair \|
	\| 27 \| star - zero - killiair - stars - option \| 32 \| 27_star_zero_killiair_stars \|
	\| 28 \| seat - seats - sit - lady - plane \| 29 \| 28_seat_seats_sit_lady \|
	\| 29 \| 115 - change - ticket - mistake - letters \| 29 \| 29_115_change_ticket_mistake \|
	\| 30 \| cancelled - flight - strike - 20pm - delayed \| 27 \| 30_cancelled_flight_strike_20pm \|
	\| 31 \| hotel - compensation - cancelled - paris - airport \| 26 \| 31_hotel_compensation_cancelled_paris \|
	\| 32 \| refund - booking - error - oct - wroclaw \| 26 \| 32_refund_booking_error_oct \|
	\| 33 \| compensation - delayed - hours - delay - weather \| 25 \| 33_compensation_delayed_hours_delay \|
	\| 34 \| dates - change - website - charge - ez \| 21 \| 34_dates_change_website_charge \|
	\| 35 \| passport - date - son - gate - expiry \| 21 \| 35_passport_date_son_gate \|
	\| 36 \| company - worst - greed - exist - die \| 20 \| 36_company_worst_greed_exist \|
	\| 37 \| payment - app - cards - tried - website \| 20 \| 37_payment_app_cards_tried \|
	\| 38 \| bristol - explanation - lisbon - delay - madrid \| 20 \| 38_bristol_explanation_lisbon_delay \|
	\| 39 \| class - business - economy - upgrade - seats \| 20 \| 39_class_business_economy_upgrade \|
	\| 40 \| killiair - queue - good - experience - need \| 20 \| 40_killiair_queue_good_experience \|
	\| 41 \| fare - change - difference - cost - 49 \| 20 \| 41_fare_change_difference_cost \|
	\| 42 \| chat - ai - reach - info - chatbot \| 19 \| 42_chat_ai_reach_info \|
	\| 43 \| death - certificate - family - wife - grandmother \| 15 \| 43_death_certificate_family_wife \|
	\| 44 \| reviews - review - experiences - bad - write \| 15 \| 44_reviews_review_experiences_bad \|
	\| 45 \| voucher - rune - residual - valid - booking \| 15 \| 45_voucher_rune_residual_valid \|
	\| 46 \| rude - yiu - staff - impolite - treated \| 14 \| 46_rude_yiu_staff_impolite \|
	\| 47 \| band - word - easy - sue - corporate \| 14 \| 47_band_word_easy_sue \|
	\| 48 \| compensation - law - caa - claim - booker \| 13 \| 48_compensation_law_caa_claim \|
	\| 49 \| good - sh - friendly - quibble - holes \| 13 \| 49_good_sh_friendly_quibble \|
	\| 50 \| malaga - page - alicante - gibraltar - taxi \| 12 \| 50_malaga_page_alicante_gibraltar \|
	\| 51 \| airways - customer - service - killiair - avoid \| 12 \| 51_airways_customer_service_killiair \|
	\| 52 \| ej - jet - easy - hotel - home \| 12 \| 52_ej_jet_easy_hotel \|
	\| 53 \| dhiman - cabin - sprayed - staff - friendly \| 11 \| 53_dhiman_cabin_sprayed_staff \|
	\| 54 \| refund - cancelled - sas - days - alternate \| 11 \| 54_refund_cancelled_sas_days \|

	</details>

	## Training hyperparameters

	* calculate_probabilities: False
	* language: None
	* low_memory: False
	* min_topic_size: 10
	* 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


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

	# test_now

	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/test_now")

	topic_model.get_topic_info()
	```

	## Topic overview

	* Number of topics: 56
	* Number of training documents: 5134

	<details>
	<summary>Click here for an overview of all topics.</summary>

	\| Topic ID \| Topic Keywords \| Topic Frequency \| Label \|
	\|----------\|----------------\|-----------------\|-------\|
	\| -1 \| killiair - flight - service - customer - staff \| 10 \| -1_killiair_flight_service_customer \|
	\| 0 \| bag - luggage - bags - cabin - pay \| 2257 \| 0_bag_luggage_bags_cabin \|
	\| 1 \| cancelled - flight - refund - flights - customer \| 406 \| 1_cancelled_flight_refund_flights \|
	\| 2 \| killiair - killiairs - great - airways - good \| 157 \| 2_killiair_killiairs_great_airways \|
	\| 3 \| worst - cheap - killiair - bad - prices \| 156 \| 3_worst_cheap_killiair_bad \|
	\| 4 \| check - verification - online - killiair - booking \| 142 \| 4_check_verification_online_killiair \|
	\| 5 \| doha - airways - flight - hours - killiair \| 107 \| 5_doha_airways_flight_hours \|
	\| 6 \| delay - delays - delayed - late - hours \| 105 \| 6_delay_delays_delayed_late \|
	\| 7 \| holiday - holidays - hotel - booked - package \| 104 \| 7_holiday_holidays_hotel_booked \|
	\| 8 \| seats - seat - allocated - extra - row \| 92 \| 8_seats_seat_allocated_extra \|
	\| 9 \| ryan - air - check - company - gate \| 89 \| 9_ryan_air_check_company \|
	\| 10 \| check - 55 - online - boarding - pass \| 86 \| 10_check_55_online_boarding \|
	\| 11 \| jet - easy - flight - cancelled - holiday \| 84 \| 11_jet_easy_flight_cancelled \|
	\| 12 \| delayed - time - killiair - delay - flights \| 84 \| 12_delayed_time_killiair_delay \|
	\| 13 \| airport - flight - hours - delayed - plane \| 83 \| 13_airport_flight_hours_delayed \|
	\| 14 \| thank - amazing - crew - thanks - professional \| 63 \| 14_thank_amazing_crew_thanks \|
	\| 15 \| food - meal - dubai - served - crew \| 62 \| 15_food_meal_dubai_served \|
	\| 16 \| refund - ticket - killiair - tickets - request \| 60 \| 16_refund_ticket_killiair_tickets \|
	\| 17 \| luggage - lost - airways - bag - baggage \| 56 \| 17_luggage_lost_airways_bag \|
	\| 18 \| customer - service - terrible - worst - services \| 53 \| 18_customer_service_terrible_worst \|
	\| 19 \| gatwick - flight - delayed - luton - plane \| 53 \| 19_gatwick_flight_delayed_luton \|
	\| 20 \| clean - food - toilets - water - seat \| 49 \| 20_clean_food_toilets_water \|
	\| 21 \| stressstress - stress - star - stars - zero \| 47 \| 21_stressstress_stress_star_stars \|
	\| 22 \| lost - luggage - baggage - suitcase - later \| 45 \| 22_lost_luggage_baggage_suitcase \|
	\| 23 \| seats - seat - paid - legroom - extra \| 40 \| 23_seats_seat_paid_legroom \|
	\| 24 \| car - hire - rental - insurance - card \| 40 \| 24_car_hire_rental_insurance \|
	\| 25 \| stansted - parking - airport - flight - lanzarote \| 39 \| 25_stansted_parking_airport_flight \|
	\| 26 \| service - customer - perfume - killiair - company \| 33 \| 26_service_customer_perfume_killiair \|
	\| 27 \| star - zero - killiair - stars - option \| 32 \| 27_star_zero_killiair_stars \|
	\| 28 \| seat - seats - sit - lady - plane \| 29 \| 28_seat_seats_sit_lady \|
	\| 29 \| 115 - change - ticket - mistake - letters \| 29 \| 29_115_change_ticket_mistake \|
	\| 30 \| cancelled - flight - strike - 20pm - delayed \| 27 \| 30_cancelled_flight_strike_20pm \|
	\| 31 \| hotel - compensation - cancelled - paris - airport \| 26 \| 31_hotel_compensation_cancelled_paris \|
	\| 32 \| refund - booking - error - oct - wroclaw \| 26 \| 32_refund_booking_error_oct \|
	\| 33 \| compensation - delayed - hours - delay - weather \| 25 \| 33_compensation_delayed_hours_delay \|
	\| 34 \| dates - change - website - charge - ez \| 21 \| 34_dates_change_website_charge \|
	\| 35 \| passport - date - son - gate - expiry \| 21 \| 35_passport_date_son_gate \|
	\| 36 \| company - worst - greed - exist - die \| 20 \| 36_company_worst_greed_exist \|
	\| 37 \| payment - app - cards - tried - website \| 20 \| 37_payment_app_cards_tried \|
	\| 38 \| bristol - explanation - lisbon - delay - madrid \| 20 \| 38_bristol_explanation_lisbon_delay \|
	\| 39 \| class - business - economy - upgrade - seats \| 20 \| 39_class_business_economy_upgrade \|
	\| 40 \| killiair - queue - good - experience - need \| 20 \| 40_killiair_queue_good_experience \|
	\| 41 \| fare - change - difference - cost - 49 \| 20 \| 41_fare_change_difference_cost \|
	\| 42 \| chat - ai - reach - info - chatbot \| 19 \| 42_chat_ai_reach_info \|
	\| 43 \| death - certificate - family - wife - grandmother \| 15 \| 43_death_certificate_family_wife \|
	\| 44 \| reviews - review - experiences - bad - write \| 15 \| 44_reviews_review_experiences_bad \|
	\| 45 \| voucher - rune - residual - valid - booking \| 15 \| 45_voucher_rune_residual_valid \|
	\| 46 \| rude - yiu - staff - impolite - treated \| 14 \| 46_rude_yiu_staff_impolite \|
	\| 47 \| band - word - easy - sue - corporate \| 14 \| 47_band_word_easy_sue \|
	\| 48 \| compensation - law - caa - claim - booker \| 13 \| 48_compensation_law_caa_claim \|
	\| 49 \| good - sh - friendly - quibble - holes \| 13 \| 49_good_sh_friendly_quibble \|
	\| 50 \| malaga - page - alicante - gibraltar - taxi \| 12 \| 50_malaga_page_alicante_gibraltar \|
	\| 51 \| airways - customer - service - killiair - avoid \| 12 \| 51_airways_customer_service_killiair \|
	\| 52 \| ej - jet - easy - hotel - home \| 12 \| 52_ej_jet_easy_hotel \|
	\| 53 \| dhiman - cabin - sprayed - staff - friendly \| 11 \| 53_dhiman_cabin_sprayed_staff \|
	\| 54 \| refund - cancelled - sas - days - alternate \| 11 \| 54_refund_cancelled_sas_days \|

	</details>

	## Training hyperparameters

	* calculate_probabilities: False
	* language: None
	* low_memory: False
	* min_topic_size: 10
	* 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