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AIDA-UPM
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MARTINI_enrich_BERTopic_AFLDSOrg

Text Classification
BERTopic
Model card Files
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Add BERTopic model

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Files changed (6) hide show
  1. README.md +73 -0
  2. config.json +16 -0
  3. ctfidf.safetensors +3 -0
  4. ctfidf_config.json +2638 -0
  5. topic_embeddings.safetensors +3 -0
  6. topics.json +382 -0
README.md ADDED
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1
+
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+ ---
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+ tags:
4
+ - bertopic
5
+ library_name: bertopic
6
+ pipeline_tag: text-classification
7
+ ---
8
+
9
+ # MARTINI_enrich_BERTopic_AFLDSOrg
10
+
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+ This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
12
+ BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
13
+
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+ ## Usage
15
+
16
+ To use this model, please install BERTopic:
17
+
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+ ```
19
+ pip install -U bertopic
20
+ ```
21
+
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+ You can use the model as follows:
23
+
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+ ```python
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+ from bertopic import BERTopic
26
+ topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_AFLDSOrg")
27
+
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+ topic_model.get_topic_info()
29
+ ```
30
+
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+ ## Topic overview
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+
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+ * Number of topics: 4
34
+ * Number of training documents: 251
35
+
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+ <details>
37
+ <summary>Click here for an overview of all topics.</summary>
38
+
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+ | Topic ID | Topic Keywords | Topic Frequency | Label |
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+ |----------|----------------|-----------------|-------|
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+ | -1 | fauci - misinformation - censor - ivermectin - missouri | 20 | -1_fauci_misinformation_censor_ivermectin |
42
+ | 0 | lockdowns - fauci - mask - live - austin | 84 | 0_lockdowns_fauci_mask_live |
43
+ | 1 | vaccinated - pfizer - myocarditis - hpv - deaths | 85 | 1_vaccinated_pfizer_myocarditis_hpv |
44
+ | 2 | unvaccinated - upheld - unconstitutional - mandatory - exemptions | 62 | 2_unvaccinated_upheld_unconstitutional_mandatory |
45
+
46
+ </details>
47
+
48
+ ## Training hyperparameters
49
+
50
+ * calculate_probabilities: True
51
+ * language: None
52
+ * low_memory: False
53
+ * 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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+
62
+ ## Framework versions
63
+
64
+ * 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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+ "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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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:79d60e9aab82f33f6e8c36492c7993f7d2468e96a0db88a3a82ed74dbf8ffab6
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+ size 59624
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+ "AFLDSOrg"
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