--- tags: - bertopic library_name: bertopic pipeline_tag: text-classification --- # MARTINI_enrich_BERTopic_covid 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("AIDA-UPM/MARTINI_enrich_BERTopic_covid") topic_model.get_topic_info() ``` ## Topic overview * Number of topics: 12 * Number of training documents: 1269
Click here for an overview of all topics. | Topic ID | Topic Keywords | Topic Frequency | Label | |----------|----------------|-----------------|-------| | -1 | fauci - vaccinated - injections - monkeypox - misinformation | 21 | -1_fauci_vaccinated_injections_monkeypox | | 0 | vaccinated - deaths - pfizer - lancet - pericarditis | 676 | 0_vaccinated_deaths_pfizer_lancet | | 1 | omicron - booster - antibodies - shots - harvard | 135 | 1_omicron_booster_antibodies_shots | | 2 | fauci - coronaviruses - darpa - funded - origins | 78 | 2_fauci_coronaviruses_darpa_funded | | 3 | pandemic - gates - bannon - misinformation - klaus | 66 | 3_pandemic_gates_bannon_misinformation | | 4 | vaccinate - mrna - microbiologist - plasmid - bhakdi | 61 | 4_vaccinate_mrna_microbiologist_plasmid | | 5 | pfizer - whistleblower - davos - lawsuits - stephane | 55 | 5_pfizer_whistleblower_davos_lawsuits | | 6 | quarantine - china - shenzhen - passport - red | 48 | 6_quarantine_china_shenzhen_passport | | 7 | nattokinase - pfizer - bromelain - bleeding - exosomes | 39 | 7_nattokinase_pfizer_bromelain_bleeding | | 8 | ivermectin - remdesivir - hydroxychloroquine - penicillin - medications | 37 | 8_ivermectin_remdesivir_hydroxychloroquine_penicillin | | 9 | strokes - encephalitis - neurologists - aphasia - astrazeneca | 31 | 9_strokes_encephalitis_neurologists_aphasia | | 10 | australia - unjabbed - djokovic - banned - andrews | 22 | 10_australia_unjabbed_djokovic_banned |
## Training hyperparameters * calculate_probabilities: True * language: None * low_memory: False * min_topic_size: 10 * n_gram_range: (1, 1) * nr_topics: None * seed_topic_list: None * top_n_words: 10 * verbose: False * zeroshot_min_similarity: 0.7 * zeroshot_topic_list: None ## Framework versions * Numpy: 1.26.4 * HDBSCAN: 0.8.40 * UMAP: 0.5.7 * Pandas: 2.2.3 * Scikit-Learn: 1.5.2 * Sentence-transformers: 3.3.1 * Transformers: 4.46.3 * Numba: 0.60.0 * Plotly: 5.24.1 * Python: 3.10.12