Add BERTopic model
Browse files- README.md +73 -0
- config.json +16 -0
- ctfidf.safetensors +3 -0
- ctfidf_config.json +2336 -0
- topic_embeddings.safetensors +3 -0
- topics.json +419 -0
README.md
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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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# MARTINI_enrich_BERTopic_protest
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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("AIDA-UPM/MARTINI_enrich_BERTopic_protest")
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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: 4
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* Number of training documents: 288
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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 | nationalists - trudeau - crash - news - tbilisi | 58 | -1_nationalists_trudeau_crash_news |
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| 0 | palestinians - hamas - protestors - antifa - march | 55 | 0_palestinians_hamas_protestors_antifa |
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| 1 | protesting - ukraine - europe - farmer - tyranny | 106 | 1_protesting_ukraine_europe_farmer |
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| 2 | riots - macron - rennes - pension - parliament | 69 | 2_riots_macron_rennes_pension |
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</details>
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## Training hyperparameters
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* calculate_probabilities: True
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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: False
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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: 1.26.4
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* HDBSCAN: 0.8.40
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* UMAP: 0.5.7
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* Pandas: 2.2.3
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* Scikit-Learn: 1.5.2
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* Sentence-transformers: 3.3.1
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* Transformers: 4.46.3
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* Numba: 0.60.0
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* Plotly: 5.24.1
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* Python: 3.10.12
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config.json
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{
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"calculate_probabilities": true,
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"language": null,
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"low_memory": false,
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"min_topic_size": 10,
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"n_gram_range": [
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1,
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1
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],
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"nr_topics": null,
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"seed_topic_list": null,
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"top_n_words": 10,
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"verbose": false,
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"zeroshot_min_similarity": 0.7,
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"zeroshot_topic_list": null
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}
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ctfidf.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e2f7d6dd75376504df45e595864426bfa82a2384c24a845aa3d001e2ae29e3a
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size 50452
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ctfidf_config.json
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|
topic_embeddings.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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3 |
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size 16472
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topics.json
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@@ -0,0 +1,419 @@
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