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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# BERTopic |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("Jerado/BERTopic") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 17 |
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* Number of training documents: 1000 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| -1 | theism - much - way - think - just | 15 | -1_theism_much_way_think | |
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| 0 | nhl - playoffs - rangers - hockey - league | 304 | 0_nhl_playoffs_rangers_hockey | |
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| 1 | performance - ram - drivers - monitor - speed | 92 | 1_performance_ram_drivers_monitor | |
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| 2 | x11r5 - hyperhelp - windows - pc - application | 82 | 2_x11r5_hyperhelp_windows_pc | |
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| 3 | dos - windows - harddisk - disk - software | 82 | 3_dos_windows_harddisk_disk | |
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| 4 | amp - amps - amplifier - ampere - current | 75 | 4_amp_amps_amplifier_ampere | |
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| 5 | scripture - christians - sin - bible - commandment | 44 | 5_scripture_christians_sin_bible | |
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| 6 | patients - biological - medicine - studies - doctors | 41 | 6_patients_biological_medicine_studies | |
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| 7 | nasa - solar - space - shuttle - orbiting | 39 | 7_nasa_solar_space_shuttle | |
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| 8 | armenians - armenian - armenia - turks - genocide | 38 | 8_armenians_armenian_armenia_turks | |
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| 9 | guns - gun - amendment - constitution - laws | 36 | 9_guns_gun_amendment_constitution | |
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| 10 | - - - - | 33 | 10____ | |
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| 11 | motorcycle - bikes - cobralinks - bike - riding | 32 | 11_motorcycle_bikes_cobralinks_bike | |
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| 12 | encryption - security - encrypted - privacy - secure | 24 | 12_encryption_security_encrypted_privacy | |
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| 13 | contacted - address - mail - contact - email | 23 | 13_contacted_address_mail_contact | |
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| 14 | paganism - faith - christianity - christians - atheists | 21 | 14_paganism_faith_christianity_christians | |
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| 15 | action - fbi - batf - war - president | 19 | 15_action_fbi_batf_war | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: english |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: None |
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* seed_topic_list: [['drug', 'cancer', 'drugs', 'doctor'], ['windows', 'drive', 'dos', 'file'], ['space', 'launch', 'orbit', 'lunar']] |
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* top_n_words: 10 |
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* verbose: False |
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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.23.5 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.6 |
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* Pandas: 2.0.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.7.0 |
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* Transformers: 4.40.1 |
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* Numba: 0.58.1 |
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* Plotly: 5.15.0 |
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* Python: 3.10.12 |
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