Add BERTopic model

README.md

@@ -0,0 +1,72 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# MARTINI_enrich_BERTopic_turkcumucadele
+
+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_turkcumucadele")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 3
+* Number of training documents: 328
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | ataturk - milliyetcilerini - izmir - karsıyız - uyelerimiz | 60 | -1_ataturk_milliyetcilerini_izmir_karsıyız | 
+| 0 | sancaklılar - turancılar - kıbrıs - kacakcılıgı - istanbul | 124 | 0_sancaklılar_turancılar_kıbrıs_kacakcılıgı | 
+| 1 | milliyetcilerinin - turkculere - yaptıgınız - bayragını - sporları | 144 | 1_milliyetcilerinin_turkculere_yaptıgınız_bayragını |
+  
+</details>
+
+## 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

config.json

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+{
+  "calculate_probabilities": true,
+  "language": null,
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": null,
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": false,
+  "zeroshot_min_similarity": 0.7,
+  "zeroshot_topic_list": null
+}

ctfidf.safetensors

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+oid sha256:241e60889d1c1811f2b0d0f18561211d0c4171598c0685b2f6f4bf1df2e32736
+size 125220

topic_embeddings.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:07c41a03ef1a73fea841d94dc646bebdece82b5b644e01d57fceace72d57625a
+size 12376

topics.json

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+{
+  "topic_representations": {
+    "-1": [
+      [
+        "ataturk",
+        0.5841145515441895
+      ],
+      [
+        "milliyetcilerini",
+        0.5647975206375122
+      ],
+      [
+        "izmir",
+        0.5517330169677734
+      ],
+      [
+        "kars\u0131y\u0131z",
+        0.5415565967559814
+      ],
+      [
+        "uyelerimiz",
+        0.5410891771316528
+      ]
+    ],
+    "0": [
+      [
+        "sancakl\u0131lar",
+        0.5665498971939087
+      ],
+      [
+        "turanc\u0131lar",
+        0.5619629621505737
+      ],
+      [
+        "k\u0131br\u0131s",
+        0.5536266565322876
+      ],
+      [
+        "kacakc\u0131l\u0131g\u0131",
+        0.5458101034164429
+      ],
+      [
+        "istanbul",
+        0.5324820280075073
+      ]
+    ],
+    "1": [
+      [
+        "milliyetcilerinin",
+        0.6006249189376831
+      ],
+      [
+        "turkculere",
+        0.5991430282592773
+      ],
+      [
+        "yapt\u0131g\u0131n\u0131z",
+        0.5403755903244019
+      ],
+      [
+        "bayrag\u0131n\u0131",
+        0.5379725694656372
+      ],
+      [
+        "sporlar\u0131",
+        0.51165771484375
+      ]
+    ]
+  },
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+  "topic_labels": {
+    "-1": "-1_ataturk_milliyetcilerini_izmir_kars\u0131y\u0131z",
+    "0": "0_sancakl\u0131lar_turanc\u0131lar_k\u0131br\u0131s_kacakc\u0131l\u0131g\u0131",
+    "1": "1_milliyetcilerinin_turkculere_yapt\u0131g\u0131n\u0131z_bayrag\u0131n\u0131"
+  },
+  "custom_labels": null,
+  "_outliers": 1,
+  "topic_aspects": {}
+}