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MARTINI_enrich_BERTopic_TAAtelegram

Text Classification
BERTopic
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Add BERTopic model

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Files changed (6) hide show
  1. README.md +81 -0
  2. config.json +16 -0
  3. ctfidf.safetensors +3 -0
  4. ctfidf_config.json +0 -0
  5. topic_embeddings.safetensors +3 -0
  6. topics.json +1307 -0
README.md ADDED
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1
+
2
+ ---
3
+ tags:
4
+ - bertopic
5
+ library_name: bertopic
6
+ pipeline_tag: text-classification
7
+ ---
8
+
9
+ # MARTINI_enrich_BERTopic_TAAtelegram
10
+
11
+ 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
+
14
+ ## Usage
15
+
16
+ To use this model, please install BERTopic:
17
+
18
+ ```
19
+ pip install -U bertopic
20
+ ```
21
+
22
+ You can use the model as follows:
23
+
24
+ ```python
25
+ from bertopic import BERTopic
26
+ topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_TAAtelegram")
27
+
28
+ topic_model.get_topic_info()
29
+ ```
30
+
31
+ ## Topic overview
32
+
33
+ * Number of topics: 12
34
+ * Number of training documents: 944
35
+
36
+ <details>
37
+ <summary>Click here for an overview of all topics.</summary>
38
+
39
+ | Topic ID | Topic Keywords | Topic Frequency | Label |
40
+ |----------|----------------|-----------------|-------|
41
+ | -1 | kazananlar - yapılacak - cekilisi - ataturk - bakanı | 20 | -1_kazananlar_yapılacak_cekilisi_ataturk |
42
+ | 0 | erdogan - kılıcdaroglu - bakanı - mehmet - saglayacagız | 338 | 0_erdogan_kılıcdaroglu_bakanı_mehmet |
43
+ | 1 | iphone - fiyatları - 512gb - 999 - max | 147 | 1_iphone_fiyatları_512gb_999 |
44
+ | 2 | bıraktım - seviliyorsunuz - ayakkabıyı - selam - yazın | 79 | 2_bıraktım_seviliyorsunuz_ayakkabıyı_selam |
45
+ | 3 | yazacaksiniz - reelsi - instagram - ısmarlıycam - telegramdan | 60 | 3_yazacaksiniz_reelsi_instagram_ısmarlıycam |
46
+ | 4 | bırakıldı - istanbul - gaziantep - esenyurt - ankara | 53 | 4_bırakıldı_istanbul_gaziantep_esenyurt |
47
+ | 5 | coinleri - binance - solanium - satısımız - token | 52 | 5_coinleri_binance_solanium_satısımız |
48
+ | 6 | galatasaray - demirspor - takımımız - sultanları - sampiyonası | 51 | 6_galatasaray_demirspor_takımımız_sultanları |
49
+ | 7 | harekatı - canakkale - saldırısında - catısmada - teroristlerin | 48 | 7_harekatı_canakkale_saldırısında_catısmada |
50
+ | 8 | cumhuriyetimizin - kahramanlarını - canakkale - bayramı - ataturk | 42 | 8_cumhuriyetimizin_kahramanlarını_canakkale_bayramı |
51
+ | 9 | erdogan - anadolu - kılıcdaroglu - sandıkların - anketi | 28 | 9_erdogan_anadolu_kılıcdaroglu_sandıkların |
52
+ | 10 | hamas - netanyahu - israilliler - basbakanı - kılınacak | 26 | 10_hamas_netanyahu_israilliler_basbakanı |
53
+
54
+ </details>
55
+
56
+ ## Training hyperparameters
57
+
58
+ * calculate_probabilities: True
59
+ * language: None
60
+ * low_memory: False
61
+ * min_topic_size: 10
62
+ * 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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+
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+ ## Framework versions
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+
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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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+ "zeroshot_topic_list": null
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+ }
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