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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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# short-pubmed-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("etanios/short-pubmed-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: 32 |
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* Number of training documents: 9999 |
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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 | patients - activity - cells - acid - 10 | 53 | Medical research studies | |
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| 0 | health - children - care - medical - patient | 3897 | Healthcare and Mental Health | |
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| 1 | renal - pressure - renin - blood - sodium | 702 | Renal physiology and hypertension | |
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| 2 | progesterone - pregnancy - lh - testosterone - fetal | 516 | Reproductive physiology and endocrinology | |
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| 3 | ventricular - coronary - left - patients - myocardial | 404 | Cardiac physiology and anatomy | |
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| 4 | method - gas - liquid - chromatography - urine | 381 | Analytical techniques for chemical analysis | |
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| 5 | morphine - mg kg - kg - brain - mg | 296 | Effects of drugs on rat behavior | |
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| 6 | cells - tumor - mice - cell - lymphocytes | 281 | Tumor immunology and lymphocyte activation | |
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| 7 | hip - patients - joint - rheumatoid - knee | 278 | Hip and Knee Fractures in Rheumatoid Arthritis Patients | |
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| 8 | cells - electron - cell - axons - synaptic | 265 | Neuroanatomy and Synaptic Structures | |
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| 9 | retinal - eyes - vitreous - eye - cases | 237 | Ocular Surgery | |
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| 10 | patients - ulcer - cases - disease - crohn | 203 | Gastrointestinal surgery and complications | |
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| 11 | strains - resistant - antibiotic - gentamicin - antibiotics | 201 | Antibiotic resistance in bacterial strains | |
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| 12 | enzyme - molecular - acid - activity - phosphate | 201 | Enzymology and Molecular Biology | |
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| 13 | iron - hemoglobin - hb - erythrocytes - deficiency | 178 | Iron Deficiency Anemia Research | |
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| 14 | infection - virus - infected - vaccinated - cattle | 175 | Virus infection and vaccination studies | |
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| 15 | platelet - platelets - aggregation - fibrinogen - coagulation | 167 | Platelet function and coagulation | |
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| 16 | cancer - carcinoma - patients - tumor - cases | 158 | Cancer treatment and survival rates | |
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| 17 | lung - volume - oxygen - flow - ventilation | 152 | Pulmonary Function and Exercise | |
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| 18 | calcium - thyroid - t3 - parathyroid - t4 | 151 | Thyroid and Parathyroid Hormones | |
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| 19 | fatty - cholesterol - acid - liver - acids | 144 | Lipid metabolism in rats | |
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| 20 | diet - weight - egg - diets - fed | 117 | Poultry Nutrition and Physiology | |
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| 21 | stimulation - nerve - neurons - units - motor | 111 | Motor Neuron Discharge and Potentials | |
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| 22 | glucose - insulin - glucagon - levels - blood glucose | 102 | Insulin and glucose metabolism | |
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| 23 | hearing - ear - cochlear - auditory - noise | 99 | Hearing and Auditory Function | |
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| 24 | rna - dna - chromatin - proteins - polymerase | 95 | | |
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| 25 | carotid - artery - intracranial - aneurysms - subdural | 94 | Carotid Artery Aneurysms and Intracranial Hemorrhage | |
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| 26 | bone - mineral - fluoride - enamel - mineralization | 81 | Bone and Mineral Metabolism | |
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| 27 | temperature - degrees - heat - temperatures - cold | 75 | Effects of Temperature on Human Physiology | |
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| 28 | bile - acid - biliary - cholesterol - bile acid | 63 | Biliary Lipid Metabolism | |
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| 29 | visual - light - receptive - sensitivity - dark | 61 | Visual processing and sensitivity | |
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| 30 | lung - pulmonary - chest - pleural - patients | 61 | Respiratory system diseases and disorders | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: None |
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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: True |
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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: 0.5.4 |
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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: 4.33.2 |
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* Numba: 0.56.4 |
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* Plotly: 5.15.0 |
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* Python: 3.10.12 |
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