BERTopic_topics_agriculture
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("hebashakeel/BERTopic_topics_agriculture")
topic_model.get_topic_info()
Topic overview
- Number of topics: 86
- Number of training documents: 58144
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
-1 | - - - - | 162 | -1____ |
0 | sauce - you - recipe - add - with | 1 | 0_sauce_you_recipe_add |
1 | crops - crop - ha - wheat - spring | 3467 | 1_crops_crop_ha_wheat |
2 | tractor - deere - the - with - it | 3097 | 2_tractor_deere_the_with |
3 | cows - milk - is - cattle - grazing | 2373 | 3_cows_milk_is_cattle |
4 | prices - wheat - corn - year - million | 2297 | 4_prices_wheat_corn_year |
5 | soil - plants - plant - fruit - is | 2325 | 5_soil_plants_plant_fruit |
6 | canada - ontario - agriculture - canadian - and | 2274 | 6_canada_ontario_agriculture_canadian |
7 | we - that - to - the - of | 2362 | 7_we_that_to_the |
8 | market - analysis - report - global - forecast | 4450 | 8_market_analysis_report_global |
9 | usda - program - and - agriculture - programs | 1103 | 9_usda_program_and_agriculture |
10 | uk - trade - workers - government - the | 1697 | 10_uk_trade_workers_government |
11 | corn - percent - moisture - crop - planting | 1406 | 11_corn_percent_moisture_crop |
12 | poultry - birds - chickens - feed - eggs | 909 | 12_poultry_birds_chickens_feed |
13 | pig - pigs - npa - producers - said | 719 | 13_pig_pigs_npa_producers |
14 | mental - health - people - farmers - charity | 559 | 14_mental_health_people_farmers |
15 | police - crime - dog - rural - said | 595 | 15_police_crime_dog_rural |
16 | organic - farming - crops - soil - certification | 654 | 16_organic_farming_crops_soil |
17 | candle - you - your - amazon - candles | 649 | 17_candle_you_your_amazon |
18 | fish - pond - water - catfish - ponds | 732 | 18_fish_pond_water_catfish |
19 | kg - lamb - lambs - cattle - beef | 514 | 19_kg_lamb_lambs_cattle |
20 | scheme - defra - farmers - sfi - land | 601 | 20_scheme_defra_farmers_sfi |
21 | based - plant - foods - meat - company | 792 | 21_based_plant_foods_meat |
22 | gene - plant - plants - genetic - research | 731 | 22_gene_plant_plants_genetic |
23 | we - our - quarter - that - think | 742 | 23_we_our_quarter_that |
24 | carbon - emissions - farmers - to - and | 538 | 24_carbon_emissions_farmers_to |
25 | deforestation - forest - forests - eu - brazil | 1191 | 25_deforestation_forest_forests_eu |
26 | laws - farmers - fence - government - minister | 560 | 26_laws_farmers_fence_government |
27 | pig - pigs - sows - sow - farrowing | 417 | 27_pig_pigs_sows_sow |
28 | safety - was - fire - farm - the | 481 | 28_safety_was_fire_farm |
29 | fish - ocean - marine - the - seafood | 537 | 29_fish_ocean_marine_the |
30 | land - agricultural - property - title - registration | 436 | 30_land_agricultural_property_title |
31 | land - farmland - acre - acres - values | 452 | 31_land_farmland_acre_acres |
32 | snail - snails - read - also - you | 511 | 32_snail_snails_read_also |
33 | de - que - la - en - el | 302 | 33_de_que_la_en |
34 | antibiotics - antibiotic - pigs - animal - animals | 375 | 34_antibiotics_antibiotic_pigs_animal |
35 | blood - vitamin - health - cancer - broccoli | 402 | 35_blood_vitamin_health_cancer |
36 | disney - rss - websites - turning - url | 449 | 36_disney_rss_websites_turning |
37 | exports - milk - dairy - beef - year | 330 | 37_exports_milk_dairy_beef |
38 | we - sheep - ewes - lambs - have | 552 | 38_we_sheep_ewes_lambs |
39 | your - you - diet - soy - body | 500 | 39_your_you_diet_soy |
40 | milking - mastitis - teat - cows - cow | 630 | 40_milking_mastitis_teat_cows |
41 | farming - nfu - scotland - the - will | 290 | 41_farming_nfu_scotland_the |
42 | my - was - his - he - it | 747 | 42_my_was_his_he |
43 | ethanol - rail - fuel - e15 - biofuels | 956 | 43_ethanol_rail_fuel_e15 |
44 | bees - species - bee - study - of | 348 | 44_bees_species_bee_study |
45 | you - your - to - that - it | 366 | 45_you_your_to_that |
46 | birds - avian - poultry - influenza - flu | 476 | 46_birds_avian_poultry_influenza |
47 | swine - asf - disease - virus - fever | 274 | 47_swine_asf_disease_virus |
48 | scheme - payments - welsh - bps - payment | 282 | 48_scheme_payments_welsh_bps |
49 | tb - bovine - test - cattle - badger | 459 | 49_tb_bovine_test_cattle |
50 | tax - business - be - insurance - or | 264 | 50_tax_business_be_insurance |
51 | agriculture - agricultural - state - of - the | 541 | 51_agriculture_agricultural_state_of |
52 | tenant - tenants - landlords - tenancy - scheme | 595 | 52_tenant_tenants_landlords_tenancy |
53 | soil - carbon - water - crop - and | 302 | 53_soil_carbon_water_crop |
54 | court - epa - rule - law - plaintiffs | 853 | 54_court_epa_rule_law |
55 | litre - milk - price - dairy - arla | 408 | 55_litre_milk_price_dairy |
56 | feeder - pounds - steers - cattle - week | 259 | 56_feeder_pounds_steers_cattle |
57 | you - they - chicken - that - them | 202 | 57_you_they_chicken_that |
58 | autonomous - robots - robot - technology - the | 417 | 58_autonomous_robots_robot_technology |
59 | wool - micron - merino - cargill - strike | 300 | 59_wool_micron_merino_cargill |
60 | agree - cookies - website - privacy - analytics | 201 | 60_agree_cookies_website_privacy |
61 | farm - you - her - your - to | 231 | 61_farm_you_her_your |
62 | statements - forward - looking - company - uncertainties | 534 | 62_statements_forward_looking_company |
63 | woodland - trees - forestry - carbon - planting | 221 | 63_woodland_trees_forestry_carbon |
64 | protein - oz - powder - ends - powders | 285 | 64_protein_oz_powder_ends |
65 | closed - at - hogs - down - cents | 203 | 65_closed_at_hogs_down |
66 | link - place - related - services - agric4profits | 226 | 66_link_place_related_services |
67 | levy - ahdb - payers - vote - growers | 344 | 67_levy_ahdb_payers_vote |
68 | of - the - in - were - was | 186 | 68_of_the_in_were |
69 | sugar - beet - growers - yellows - british | 182 | 69_sugar_beet_growers_yellows |
70 | ukraine - food - fertiliser - prices - cf | 172 | 70_ukraine_food_fertiliser_prices |
71 | head - slaughter - average - cattle - volumes | 363 | 71_head_slaughter_average_cattle |
72 | urban - agriculture - food - gardens - community | 176 | 72_urban_agriculture_food_gardens |
73 | insects - insect - larvae - fly - honey | 249 | 73_insects_insect_larvae_fly |
74 | pork - the - covid - survey - of | 176 | 74_pork_the_covid_survey |
75 | meat - protein - based - plant - food | 399 | 75_meat_protein_based_plant |
76 | campaign - wild - boar - pigs - dairy | 287 | 76_campaign_wild_boar_pigs |
77 | party - bill - minister - election - liberal | 183 | 77_party_bill_minister_election |
78 | silage - hay - grass - forage - feed | 194 | 78_silage_hay_grass_forage |
79 | school - food - schools - meals - snap | 285 | 79_school_food_schools_meals |
80 | meal - creditor - collateral - debtor - creditors | 231 | 80_meal_creditor_collateral_debtor |
81 | organic - black - farmers - veterans - program | 142 | 81_organic_black_farmers_veterans |
82 | rabbit - rabbits - deere - uaw - they | 191 | 82_rabbit_rabbits_deere_uaw |
83 | avian - influenza - birds - poultry - flocks | 108 | 83_avian_influenza_birds_poultry |
84 | egg - eggs - free - range - cage | 162 | 84_egg_eggs_free_range |
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: True
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.26.4
- HDBSCAN: 0.8.40
- UMAP: 0.5.7
- Pandas: 2.2.3
- Scikit-Learn: 1.2.2
- Sentence-transformers: 3.4.1
- Transformers: 4.51.1
- Numba: 0.60.0
- Plotly: 5.24.1
- Python: 3.11.11
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