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ZH
Chat Topics
模型简介
该模型使用BERTopic框架构建，专门用于分析聊天文本并提取有意义的话题分类。适用于社交媒体、客服对话等场景的话题挖掘和分析。
模型特点
模块化设计
采用BERTopic的模块化框架，可灵活调整各个处理环节
多话题识别
能够自动识别75个不同的话题类别
关键词提取
为每个话题提供最具代表性的关键词
大规模训练
基于63,530篇文档训练，覆盖广泛话题
模型能力
文本分类
话题识别
关键词提取
话题可视化
使用案例
社交媒体分析
聊天话题监控
分析社交媒体上的热门讨论话题
识别75个不同的话题类别
客户服务
客服对话分析
分类客户咨询的主要话题
提高客服响应效率
🚀 chat_topics
这是一个 BERTopic 模型。BERTopic 是一个灵活且模块化的主题建模框架，可从大型数据集中生成易于解释的主题。
🚀 快速开始
要使用此模型，你需要先安装 BERTopic：
pip install -U bertopic
你可以按以下方式使用该模型：
from bertopic import BERTopic
topic_model = BERTopic.load("davanstrien/chat_topics")
topic_model.get_topic_info()
✨ 主要特性
主题概述
- 主题数量：75
- 训练文档数量：63530
点击此处查看所有主题概述。
| 主题 ID | 主题关键词 | 主题频率 | 标签 |
|---|---|---|---|
| -1 | provide - using - information - sure - help | 26 | -1_provide_using_information_sure |
| 0 | openai - ai - chatgpt - assistant - language | 7837 | 生成式人工智能 |
| 1 | anytime - welcome - assistance - helpful - thank | 1342 | 1_anytime_welcome_assistance_helpful |
| 2 | quantum - particle - physics - particles - relativity | 778 | 物理学 |
| 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 | 编程 |
| 6 | css - html - style - div - js | 494 | 网页编程 |
| 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 |
训练超参数
- 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
框架版本
| 属性 | 详情 |
|---|---|
| 模型类型 | BERTopic 主题建模模型 |
| 训练数据 | OpenAssistant/oasst1 |
| Numpy 版本 | 1.22.4 |
| HDBSCAN 版本 | 0.8.29 |
| UMAP 版本 | 0.5.3 |
| Pandas 版本 | 1.5.3 |
| Scikit-Learn 版本 | 1.2.2 |
| Sentence-transformers 版本 | 2.2.2 |
| Transformers 版本 | 4.29.2 |
| Numba 版本 | 0.56.4 |
| Plotly 版本 | 5.13.1 |
| Python 版本 | 3.10.11 |
📄 许可证
本项目采用 MIT 许可证。
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