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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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# transformers_issues_topics |
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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("Maitorokku/transformers_issues_topics") |
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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: 30 |
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* Number of training documents: 9000 |
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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 | climate - environmental - research - analysis - study | 11 | -1_climate_environmental_research_analysis | |
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| 0 | climate - climatic - ecological - environmental - precipitation | 2717 | 0_climate_climatic_ecological_environmental | |
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| 1 | resilience - practices - innovation - preparedness - management | 2162 | 1_resilience_practices_innovation_preparedness | |
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| 2 | ndvi - correlation - vegetation - pearson - formula | 642 | 2_ndvi_correlation_vegetation_pearson | |
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| 3 | study - questionnaire - criteria - respondents - conducted | 427 | 3_study_questionnaire_criteria_respondents | |
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| 4 | software - sustainable - research - researchers - development | 394 | 4_software_sustainable_research_researchers | |
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| 5 | malaria - prevalence - population - mosquitoes - mosquito | 309 | 5_malaria_prevalence_population_mosquitoes | |
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| 6 | pandemic - pandemics - covid19 - crisis - governments | 290 | 6_pandemic_pandemics_covid19_crisis | |
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| 7 | journals - journal - article - articles - bibliometric | 252 | 7_journals_journal_article_articles | |
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| 8 | propolis - antimicrobial - aloe - antibacterial - biofilm | 228 | 8_propolis_antimicrobial_aloe_antibacterial | |
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| 9 | health - millennials - healthy - healthcare - changehealth | 216 | 9_health_millennials_healthy_healthcare | |
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| 10 | deficiency - vitamin - diseases - supplementation - dietary | 184 | 10_deficiency_vitamin_diseases_supplementation | |
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| 11 | quails - quail - insulation - temperatures - heatstress | 153 | 11_quails_quail_insulation_temperatures | |
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| 12 | ethics - ethical - researchers - moral - research | 144 | 12_ethics_ethical_researchers_moral | |
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| 13 | obesity - metabolic - diabetes - circadian - health | 140 | 13_obesity_metabolic_diabetes_circadian | |
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| 14 | poultry - chickens - chicken - livestock - farms | 134 | 14_poultry_chickens_chicken_livestock | |
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| 15 | lightning - incidence - fatalities - bangladesh - deaths | 80 | 15_lightning_incidence_fatalities_bangladesh | |
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| 16 | harassment - gaming - behavior - games - narratives | 72 | 16_harassment_gaming_behavior_games | |
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| 17 | indigenous - knowledge - concept - ik - principles | 68 | 17_indigenous_knowledge_concept_ik | |
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| 18 | kinase - gene - signaling - phosphorylates - phosphorylation | 60 | 18_kinase_gene_signaling_phosphorylates | |
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| 19 | camel - camels - meat - meats - beef | 44 | 19_camel_camels_meat_meats | |
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| 20 | turkey - turkeyeu - turkeys - turkish - ankara | 43 | 20_turkey_turkeyeu_turkeys_turkish | |
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| 21 | wasserwiedernutzung - treibhausgaseffekt - wiedernutzung - beschreibt - khleffekt | 41 | 21_wasserwiedernutzung_treibhausgaseffekt_wiedernutzung_beschreibt | |
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| 22 | locusts - genome - locust - sequencing - genes | 41 | 22_locusts_genome_locust_sequencing | |
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| 23 | chainsaw - noisy - noise - nonchainsaw - earmuffs | 37 | 23_chainsaw_noisy_noise_nonchainsaw | |
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| 24 | evolution - evolved - brains - neuroplasticity - brain | 36 | 24_evolution_evolved_brains_neuroplasticity | |
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| 25 | sinusitis - sinus - sinuses - aplasia - paranasal | 31 | 25_sinusitis_sinus_sinuses_aplasia | |
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| 26 | mandarins - mandarin - citrus - fruits - fruit | 16 | 26_mandarins_mandarin_citrus_fruits | |
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| 27 | hikikomori - otaku - japanese - anime - otakus | 16 | 27_hikikomori_otaku_japanese_anime | |
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| 28 | travel - trips - businesses - business - corporate | 12 | 28_travel_trips_businesses_business | |
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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: 30 |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: True |
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## Framework versions |
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* Numpy: 1.22.4 |
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* HDBSCAN: 0.8.29 |
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* UMAP: 0.5.3 |
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* Pandas: 1.5.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.2.2 |
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* Transformers: 4.30.2 |
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* Numba: 0.56.4 |
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* Plotly: 5.13.1 |
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* Python: 3.10.12 |
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