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Add BERTopic model

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Files changed (4) hide show
  1. README.md +94 -0
  2. config.json +17 -0
  3. topic_embeddings.safetensors +3 -0
  4. topics.json +2598 -0
README.md ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
2
+ ---
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+ tags:
4
+ - bertopic
5
+ library_name: bertopic
6
+ pipeline_tag: text-classification
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+ ---
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+
9
+ # bertopic_model_v1
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+
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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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+
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+ ## Usage
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+
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+ To use this model, please install BERTopic:
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+
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+ ```
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+ pip install -U bertopic
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+ ```
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+
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+ You can use the model as follows:
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+
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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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+
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+ topic_model.get_topic_info()
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+ ```
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+
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+ ## Topic overview
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+
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+ * Number of topics: 25
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+ * Number of training documents: 1358
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+
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+ <details>
37
+ <summary>Click here for an overview of all topics.</summary>
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+
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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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+
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+ </details>
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+
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+ ## Training hyperparameters
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+
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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)
76
+ * nr_topics: None
77
+ * seed_topic_list: None
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+ * top_n_words: 10
79
+ * verbose: False
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+ * zeroshot_min_similarity: 0.7
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+ * zeroshot_topic_list: None
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+
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+ ## Framework versions
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+
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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
config.json ADDED
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+ {
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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": [
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+ 1,
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+ ],
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+ "nr_topics": null,
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+ "seed_topic_list": null,
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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": null,
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+ "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
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+ }
topic_embeddings.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a31e70740edf39a3206d6103b77d0b64f85eaab67e77d31ea4d5f44d675b1897
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+ size 38488
topics.json ADDED
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