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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_model_v1 |
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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("ivanleomk/bertopic_model_v1") |
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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: 25 |
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* Number of training documents: 1358 |
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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 | events - invites - national - volunteer - week | 12 | -1_events_invites_national_volunteer | |
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| 0 | gworks - software - hub - the - and | 34 | 0_gworks_software_hub_the | |
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| 1 | upflow - upflows - can - how - and | 226 | 1_upflow_upflows_can_how | |
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| 2 | banking - compliance - are - what - unit | 188 | 2_banking_compliance_are_what | |
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| 3 | canal - canals - for - what - shop | 142 | 3_canal_canals_for_what | |
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| 4 | pricing - roi - details - upflows - of | 135 | 4_pricing_roi_details_upflows | |
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| 5 | sama - task - delivery - annotation - quality | 77 | 5_sama_task_delivery_annotation | |
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| 6 | collection - cash - processes - ar - collections | 68 | 6_collection_cash_processes_ar | |
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| 7 | case - studies - we - have - do | 46 | 7_case_studies_we_have | |
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| 8 | naro - naros - platform - answers - docebo | 40 | 8_naro_naros_platform_answers | |
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| 9 | invoices - invoice - invoicing - upflow - handling | 40 | 9_invoices_invoice_invoicing_upflow | |
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| 10 | recipient - renewal - the - sender - agreement | 39 | 10_recipient_renewal_the_sender | |
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| 11 | payment - upflows - gateway - features - upflow | 39 | 11_payment_upflows_gateway_features | |
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| 12 | builder - tool - audience - presentation - the | 37 | 12_builder_tool_audience_presentation | |
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| 13 | where - found - be - deck - promised | 34 | 13_where_found_be_deck | |
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| 14 | stripe - express - hubspot - billing - payment | 30 | 14_stripe_express_hubspot_billing | |
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| 15 | retention - unit - ottimate - increase - customer | 28 | 15_retention_unit_ottimate_increase | |
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| 16 | netsuite - with - upflow - integration - synchronization | 24 | 16_netsuite_with_upflow_integration | |
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| 17 | email - inbox - ar - success - up | 23 | 17_email_inbox_ar_success | |
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| 18 | chargebee - with - upflow - synchronized - integration | 20 | 18_chargebee_with_upflow_synchronized | |
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| 19 | budget - allocation - iq - plate - ppl | 17 | 19_budget_allocation_iq_plate | |
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| 20 | receivable - accounts - jjjworks - upflow - resources | 16 | 20_receivable_accounts_jjjworks_upflow | |
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| 21 | card - cards - status - program - the | 15 | 21_card_cards_status_program | |
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| 22 | project - projects - growth - roadmap - create | 14 | 22_project_projects_growth_roadmap | |
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| 23 | nps - docebo - employee - scores - improving | 14 | 23_nps_docebo_employee_scores | |
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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: None |
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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: 1.26.4 |
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* HDBSCAN: 0.8.37 |
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* UMAP: 0.5.6 |
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* Pandas: 2.2.2 |
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* Scikit-Learn: 1.5.0 |
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* Sentence-transformers: 3.0.1 |
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* Transformers: 4.41.2 |
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* Numba: 0.60.0 |
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* Plotly: 5.22.0 |
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* Python: 3.12.3 |
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