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EN
Chat Topics
A BERTopic-based chat topic classification model capable of automatically identifying and categorizing topics from massive text data
Downloads 262
Release Time : 5/29/2023
Model Overview
This model is built using the BERTopic framework, specifically designed for analyzing chat texts and extracting meaningful topic classifications. Suitable for topic mining and analysis in scenarios such as social media and customer service dialogues.
Model Features
Modular Design
Adopts BERTopic's modular framework, allowing flexible adjustments to various processing stages
Multi-topic Identification
Capable of automatically identifying 75 different topic categories
Keyword Extraction
Provides the most representative keywords for each topic
Large-scale Training
Trained on 63,530 documents, covering a wide range of topics
Model Capabilities
Text Classification
Topic Identification
Keyword Extraction
Topic Visualization
Use Cases
Social Media Analysis
Chat Topic Monitoring
Analyzing trending discussion topics on social media
Identifies 75 different topic categories
Customer Service
Customer Service Dialogue Analysis
Classifying main topics of customer inquiries
Improves customer service response efficiency
tags:
- bertopic library_name: bertopic pipeline_tag: text-classification license: mit datasets:
- OpenAssistant/oasst1 language:
- en
chat_topics
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("davanstrien/chat_topics")
topic_model.get_topic_info()
Topic overview
- Number of topics: 75
- Number of training documents: 63530
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | provide - using - information - sure - help | 26 | -1_provide_using_information_sure |
| 0 | openai - ai - chatgpt - assistant - language | 7837 | Generative AI |
| 1 | anytime - welcome - assistance - helpful - thank | 1342 | 1_anytime_welcome_assistance_helpful |
| 2 | quantum - particle - physics - particles - relativity | 778 | Physics |
| 3 | story - lived - life - novel - felt | 569 | 3_story_lived_life_novel |
| 4 | letter - sincerely - regards - email - dear | 516 | 4_letter_sincerely_regards_email |
| 5 | rust - haskell - programming - java - languages | 504 | programming |
| 6 | css - html - style - div - js | 494 | web programming |
| 7 | linux - ubuntu - debian - fedora - install | 440 | 7_linux_ubuntu_debian_fedora |
| 8 | recipe - bake - ingredients - baking - dough | 425 | 8_recipe_bake_ingredients_baking |
| 9 | websocket - json - socket - api - discord | 425 | 9_websocket_json_socket_api |
| 10 | communism - capitalism - marx - economic - economy | 424 | 10_communism_capitalism_marx_economic |
| 11 | dog - pet - breed - breeds - pets | 408 | 11_dog_pet_breed_breeds |
| 12 | philosophy - theological - philosophical - beliefs - consciousness | 394 | 12_philosophy_theological_philosophical_beliefs |
| 13 | git - github - repository - software - commit | 381 | 13_git_github_repository_software |
| 14 | music - songs - musical - lyrics - song | 370 | 14_music_songs_musical_lyrics |
| 15 | devops - development - developers - industry - develop | 323 | 15_devops_development_developers_industry |
| 16 | pythagorean - hypotenuse - triangle - math - sqrt | 302 | 16_pythagorean_hypotenuse_triangle_math |
| 17 | eu - europe - economy - economic - war | 291 | 17_eu_europe_economy_economic |
| 18 | sleep - asleep - bedtime - procrastination - depression | 280 | 18_sleep_asleep_bedtime_procrastination |
| 19 | kramer - seinfeld - jerry - cafe - elaine | 279 | 19_kramer_seinfeld_jerry_cafe |
| 20 | printing - prints - printer - print - printers | 276 | 20_printing_prints_printer_print |
| 21 | influenza - flu - panic - symptoms - medical | 251 | 21_influenza_flu_panic_symptoms |
| 22 | chess - chessboard - practice - strategy - learn | 242 | 22_chess_chessboard_practice_strategy |
| 23 | algorithm - primes - array - integers - python | 240 | 23_algorithm_primes_array_integers |
| 24 | youtube - viewers - media - google - streaming | 240 | 24_youtube_viewers_media_google |
| 25 | poison - chemicals - powder - turpentine - smoke | 226 | 25_poison_chemicals_powder_turpentine |
| 26 | monday - sunday - count_weekend_days - calendar - dates | 216 | 26_monday_sunday_count_weekend_days_calendar |
| 27 | colors - colour - color - pigments - blue | 208 | 27_colors_colour_color_pigments |
| 28 | roman - attila - rome - empire - warfare | 205 | 28_roman_attila_rome_empire |
| 29 | investing - investments - investment - stocks - financial | 204 | 29_investing_investments_investment_stocks |
| 30 | vocabulary - wordle - words - scrabble - word | 201 | 30_vocabulary_wordle_words_scrabble |
| 31 | planets - sun - earth - planet - pluto | 198 | 31_planets_sun_earth_planet |
| 32 | renewable - solar - electricity - energy - electrical | 190 | 32_renewable_solar_electricity_energy |
| 33 | pygame - ball_radius - draw - circle - canvas | 181 | 33_pygame_ball_radius_draw_circle |
| 34 | fishing - fish - boat - hiking - camping | 176 | 34_fishing_fish_boat_hiking |
| 35 | gpus - gpu - motherboard - cpu - hardware | 162 | 35_gpus_gpu_motherboard_cpu |
| 36 | hvac - remodeling - energy - kwh - housing | 159 | 36_hvac_remodeling_energy_kwh |
| 37 | database - graphql - databases - postgresql - sql | 159 | 37_database_graphql_databases_postgresql |
| 38 | información - significado - cómo - como - sistemas | 158 | 38_información_significado_cómo_como |
| 39 | motherboard - pcie - gpu - bios - computer | 153 | 39_motherboard_pcie_gpu_bios |
| 40 | crops - produce - planting - peppers - plants | 148 | 40_crops_produce_planting_peppers |
| 41 | paintings - art - modernist - artists - modern | 148 | 41_paintings_art_modernist_artists |
| 42 | workout - exercises - dumbbells - dumbbell - exercise | 147 | 42_workout_exercises_dumbbells_dumbbell |
| 43 | climate - warming - pollution - environmental - emissions | 142 | 43_climate_warming_pollution_environmental |
| 44 | coffee - espresso - brewing - tea - beans | 137 | 44_coffee_espresso_brewing_tea |
| 45 | velocity - drag - acceleration - density - formula | 132 | 45_velocity_drag_acceleration_density |
| 46 | woodchuck - woodchucks - units - kilogram - kilograms | 130 | 46_woodchuck_woodchucks_units_kilogram |
| 47 | ascii - glyphs - hiragana - art - font | 129 | 47_ascii_glyphs_hiragana_art |
| 48 | guitars - guitar - strings - guitarists - instrument | 127 | 48_guitars_guitar_strings_guitarists |
| 49 | tallest - buildings - building - burj - khalifa | 114 | 49_tallest_buildings_building_burj |
| 50 | flat - earth - curvature - spherical - tectonic | 111 | 50_flat_earth_curvature_spherical |
| 51 | essay - awareness - understanding - being - be | 102 | 51_essay_awareness_understanding_being |
| 52 | portals - ender - portal - obsidian - netherite | 102 | 52_portals_ender_portal_obsidian |
| 53 | android - apple - phones - devices - vehicles | 101 | 53_android_apple_phones_devices |
| 54 | fasting - dietary - diet - eating - metabolic | 101 | 54_fasting_dietary_diet_eating |
| 55 | meditation - relief - pain - health - nociception | 99 | 55_meditation_relief_pain_health |
| 56 | weather - forecast - forecasts - raining - precipitation | 95 | 56_weather_forecast_forecasts_raining |
| 57 | president - presidents - presidency - constitution - biden | 94 | 57_president_presidents_presidency_constitution |
| 58 | no - nope - yes - not - maybe | 94 | 58_no_nope_yes_not |
| 59 | peregrine - airspeed - falcon - speed - bird | 90 | 59_peregrine_airspeed_falcon_speed |
| 60 | crontab - cron - myscript - script - bash | 83 | 60_crontab_cron_myscript_script |
| 61 | youtuber - streamer - ceo - musk - founder | 83 | 61_youtuber_streamer_ceo_musk |
| 62 | layovers - flights - circumnavigate - layover - travel | 83 | 62_layovers_flights_circumnavigate_layover |
| 63 | keyboards - keyboard - switches - qwerty - types | 83 | 63_keyboards_keyboard_switches_qwerty |
| 64 | file_path_in_dir1 - file_path1 - csv_file - file_path_in_dir2 - file_path2 | 80 | 64_file_path_in_dir1_file_path1_csv_file_file_path_in_dir2 |
| 65 | pele - maradona - lebron - ronaldo - nba | 76 | 65_pele_maradona_lebron_ronaldo |
| 66 | alopecia - hairstyles - hairstyle - hair - scalp | 66 | 66_alopecia_hairstyles_hairstyle_hair |
| 67 | nginx - docker - kubernetes - proxy_pass - nodeport | 65 | 67_nginx_docker_kubernetes_proxy_pass |
| 68 | directories - directory - sudo - filesystem - folders | 62 | 68_directories_directory_sudo_filesystem |
| 69 | gps - map - geocaching - maps - armenia | 52 | 69_gps_map_geocaching_maps |
| 70 | meiosis - mitosis - fertilization - reproduction - ovulation | 51 | 70_meiosis_mitosis_fertilization_reproduction |
| 71 | colleges - admissions - universities - campus - university | 43 | 71_colleges_admissions_universities_campus |
| 72 | unicorns - unicorn - pony - ponies - mythical | 32 | 72_unicorns_unicorn_pony_ponies |
| 73 | superpowers - abilities - superhero - superhuman - powers | 28 | 73_superpowers_abilities_superhero_superhuman |
Training hyperparameters
- calculate_probabilities: False
- language: None
- low_memory: False
- min_topic_size: 20
- n_gram_range: (1, 1)
- nr_topics: 75
- seed_topic_list: None
- top_n_words: 10
- verbose: True
Framework versions
- Numpy: 1.22.4
- HDBSCAN: 0.8.29
- UMAP: 0.5.3
- Pandas: 1.5.3
- Scikit-Learn: 1.2.2
- Sentence-transformers: 2.2.2
- Transformers: 4.29.2
- Numba: 0.56.4
- Plotly: 5.13.1
- Python: 3.10.11
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