Add BERTopic model

README.md

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+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# transformers_issues_topics
+
+This is a [BERTopic](https://github.com/MaartenGr/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:
+
+```python
+from bertopic import BERTopic
+topic_model = BERTopic.load("Maitorokku/transformers_issues_topics")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 30
+* Number of training documents: 9000
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | climate - environmental - research - analysis - study | 11 | -1_climate_environmental_research_analysis | 
+| 0 | climate - climatic - ecological - environmental - precipitation | 2717 | 0_climate_climatic_ecological_environmental | 
+| 1 | resilience - practices - innovation - preparedness - management | 2162 | 1_resilience_practices_innovation_preparedness | 
+| 2 | ndvi - correlation - vegetation - pearson - formula | 642 | 2_ndvi_correlation_vegetation_pearson | 
+| 3 | study - questionnaire - criteria - respondents - conducted | 427 | 3_study_questionnaire_criteria_respondents | 
+| 4 | software - sustainable - research - researchers - development | 394 | 4_software_sustainable_research_researchers | 
+| 5 | malaria - prevalence - population - mosquitoes - mosquito | 309 | 5_malaria_prevalence_population_mosquitoes | 
+| 6 | pandemic - pandemics - covid19 - crisis - governments | 290 | 6_pandemic_pandemics_covid19_crisis | 
+| 7 | journals - journal - article - articles - bibliometric | 252 | 7_journals_journal_article_articles | 
+| 8 | propolis - antimicrobial - aloe - antibacterial - biofilm | 228 | 8_propolis_antimicrobial_aloe_antibacterial | 
+| 9 | health - millennials - healthy - healthcare - changehealth | 216 | 9_health_millennials_healthy_healthcare | 
+| 10 | deficiency - vitamin - diseases - supplementation - dietary | 184 | 10_deficiency_vitamin_diseases_supplementation | 
+| 11 | quails - quail - insulation - temperatures - heatstress | 153 | 11_quails_quail_insulation_temperatures | 
+| 12 | ethics - ethical - researchers - moral - research | 144 | 12_ethics_ethical_researchers_moral | 
+| 13 | obesity - metabolic - diabetes - circadian - health | 140 | 13_obesity_metabolic_diabetes_circadian | 
+| 14 | poultry - chickens - chicken - livestock - farms | 134 | 14_poultry_chickens_chicken_livestock | 
+| 15 | lightning - incidence - fatalities - bangladesh - deaths | 80 | 15_lightning_incidence_fatalities_bangladesh | 
+| 16 | harassment - gaming - behavior - games - narratives | 72 | 16_harassment_gaming_behavior_games | 
+| 17 | indigenous - knowledge - concept - ik - principles | 68 | 17_indigenous_knowledge_concept_ik | 
+| 18 | kinase - gene - signaling - phosphorylates - phosphorylation | 60 | 18_kinase_gene_signaling_phosphorylates | 
+| 19 | camel - camels - meat - meats - beef | 44 | 19_camel_camels_meat_meats | 
+| 20 | turkey - turkeyeu - turkeys - turkish - ankara | 43 | 20_turkey_turkeyeu_turkeys_turkish | 
+| 21 | wasserwiedernutzung - treibhausgaseffekt - wiedernutzung - beschreibt - khleffekt | 41 | 21_wasserwiedernutzung_treibhausgaseffekt_wiedernutzung_beschreibt | 
+| 22 | locusts - genome - locust - sequencing - genes | 41 | 22_locusts_genome_locust_sequencing | 
+| 23 | chainsaw - noisy - noise - nonchainsaw - earmuffs | 37 | 23_chainsaw_noisy_noise_nonchainsaw | 
+| 24 | evolution - evolved - brains - neuroplasticity - brain | 36 | 24_evolution_evolved_brains_neuroplasticity | 
+| 25 | sinusitis - sinus - sinuses - aplasia - paranasal | 31 | 25_sinusitis_sinus_sinuses_aplasia | 
+| 26 | mandarins - mandarin - citrus - fruits - fruit | 16 | 26_mandarins_mandarin_citrus_fruits | 
+| 27 | hikikomori - otaku - japanese - anime - otakus | 16 | 27_hikikomori_otaku_japanese_anime | 
+| 28 | travel - trips - businesses - business - corporate | 12 | 28_travel_trips_businesses_business |
+  
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: False
+* language: english
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: 30
+* 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: 4.30.2
+* Numba: 0.56.4
+* Plotly: 5.13.1
+* Python: 3.10.12

config.json

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+{
+  "calculate_probabilities": false,
+  "language": "english",
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": 30,
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": true,
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
+}

topic_embeddings.safetensors

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+size 46168