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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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# BERTopic_Technological |
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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("karinegabsschon/BERTopic_Technological") |
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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: 28 |
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* Number of training documents: 947 |
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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 | electric - battery - car - new - ev | 12 | -1_electric_battery_car_new | |
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| 0 | tesla - musk - elon - company - elon musk | 225 | 0_tesla_musk_elon_company | |
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| 1 | charging - ev - ev charging - solutions - infrastructure | 93 | 1_charging_ev_ev charging_solutions | |
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| 2 | byd - charging - minutes - new - tesla | 70 | 2_byd_charging_minutes_new | |
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| 3 | kia - electric - car - ev - cars | 55 | 3_kia_electric_car_ev | |
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| 4 | charging - car - battery - cars - mobility | 47 | 4_charging_car_battery_cars | |
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| 5 | xiaomi - su7 - yu7 - china - car | 45 | 5_xiaomi_su7_yu7_china | |
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| 6 | id - volkswagen - every1 - id every1 - vw | 39 | 6_id_volkswagen_every1_id every1 | |
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| 7 | leapmotor - ferrari - electric - c10 - stellantis | 30 | 7_leapmotor_ferrari_electric_c10 | |
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| 8 | cars - adac - vehicles - combustion - breakdown | 26 | 8_cars_adac_vehicles_combustion | |
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| 9 | electric - charging - renault - vehicles - iberdrola | 23 | 9_electric_charging_renault_vehicles | |
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| 10 | car - electric - fisker - ev - battery | 22 | 10_car_electric_fisker_ev | |
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| 11 | foxconn - mitsubishi - taiwan - software - ev | 22 | 11_foxconn_mitsubishi_taiwan_software | |
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| 12 | slate - truck - pickup - bezos - slate auto | 21 | 12_slate_truck_pickup_bezos | |
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| 13 | byd - chinese - tesla - electric - cars | 20 | 13_byd_chinese_tesla_electric | |
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| 14 | mercedes - cla - new - amg - eq | 19 | 14_mercedes_cla_new_amg | |
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| 15 | charging - octopus - pod - home - drivers | 17 | 15_charging_octopus_pod_home | |
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| 16 | nissan - micra - toyota - new - car | 17 | 16_nissan_micra_toyota_new | |
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| 17 | india - ev - tvs - mobility - infineon | 16 | 17_india_ev_tvs_mobility | |
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| 18 | mg - ev - s5 - mg4 - cyberster | 16 | 18_mg_ev_s5_mg4 | |
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| 19 | chinese - china - defence - cars - electric | 16 | 19_chinese_china_defence_cars | |
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| 20 | vinfast - vf - vietnam - vietnamese - electric | 15 | 20_vinfast_vf_vietnam_vietnamese | |
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| 21 | audi - rs6 - car - new - döllner | 15 | 21_audi_rs6_car_new | |
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| 22 | xpeng - ai - p7 - chinese - china | 15 | 22_xpeng_ai_p7_chinese | |
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| 23 | dolphin - surf - dolphin surf - byd - euros | 14 | 23_dolphin_surf_dolphin surf_byd | |
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| 24 | renault - r5 - car - r4 - electric | 13 | 24_renault_r5_car_r4 | |
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| 25 | bmw - sound - neue - neue klasse - klasse | 12 | 25_bmw_sound_neue_neue klasse | |
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| 26 | rivian - software - police - vehicle - electric | 12 | 26_rivian_software_police_vehicle | |
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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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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 2.0.2 |
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* HDBSCAN: 0.8.40 |
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* UMAP: 0.5.8 |
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* Pandas: 2.2.2 |
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* Scikit-Learn: 1.6.1 |
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* Sentence-transformers: 4.1.0 |
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* Transformers: 4.53.0 |
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* Numba: 0.60.0 |
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* Plotly: 5.24.1 |
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* Python: 3.11.13 |
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