Add BERTopic model

README.md

@@ -0,0 +1,75 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# MARTINI_enrich_BERTopic_ZaferPartisiBilgi
+
+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_ZaferPartisiBilgi")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 6
+* Number of training documents: 375
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | akdeniz - sıgınmacılar - bakanlıgı - ataturk - osmaniye | 23 | -1_akdeniz_sıgınmacılar_bakanlıgı_ataturk | 
+| 0 | tasımacılıgında - merkezleri - burokratlar - sanayi - planı | 164 | 0_tasımacılıgında_merkezleri_burokratlar_sanayi | 
+| 1 | erdogan - bakanı - sıgınmacıları - ırkcı - sokak | 65 | 1_erdogan_bakanı_sıgınmacıları_ırkcı | 
+| 2 | konferansımıza - baskanlıgımızın - cankırı - trabzon - merkezi | 65 | 2_konferansımıza_baskanlıgımızın_cankırı_trabzon | 
+| 3 | kanalı - basdanısmanımız - programında - mehmet - yesiltepe | 31 | 3_kanalı_basdanısmanımız_programında_mehmet | 
+| 4 | erdogan - kılıcdaroglu - maliyetinin - ciftcilerimizin - milyonlarca | 27 | 4_erdogan_kılıcdaroglu_maliyetinin_ciftcilerimizin |
+  
+</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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+version https://git-lfs.github.com/spec/v1
+oid sha256:d41f0549583fd135cf2d9e73e4bca44b614a3e19f725a557a7dbbed23d1e057d
+size 112292

topic_embeddings.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f92f75bb9bd44905f9669497ec97fa7a1917f2fe845c6041b20420bb3ee2ada4
+size 24664

topics.json

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+{
+  "topic_representations": {
+    "-1": [
+      [
+        "akdeniz",
+        0.585024356842041
+      ],
+      [
+        "s\u0131g\u0131nmac\u0131lar",
+        0.583515465259552
+      ],
+      [
+        "bakanl\u0131g\u0131",
+        0.5792111158370972
+      ],
+      [
+        "ataturk",
+        0.5755276679992676
+      ],
+      [
+        "osmaniye",
+        0.5471533536911011
+      ]
+    ],
+    "0": [
+      [
+        "tas\u0131mac\u0131l\u0131g\u0131nda",
+        0.5838664770126343
+      ],
+      [
+        "merkezleri",
+        0.5468962788581848
+      ],
+      [
+        "burokratlar",
+        0.5457158088684082
+      ],
+      [
+        "sanayi",
+        0.5442032814025879
+      ],
+      [
+        "plan\u0131",
+        0.5412929058074951
+      ]
+    ],
+    "1": [
+      [
+        "erdogan",
+        0.5959498882293701
+      ],
+      [
+        "bakan\u0131",
+        0.5756554007530212
+      ],
+      [
+        "s\u0131g\u0131nmac\u0131lar\u0131",
+        0.5751449465751648
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+      [
+        "\u0131rkc\u0131",
+        0.5687888860702515
+      ],
+      [
+        "sokak",
+        0.5347297191619873
+      ]
+    ],
+    "2": [
+      [
+        "konferans\u0131m\u0131za",
+        0.6120175123214722
+      ],
+      [
+        "baskanl\u0131g\u0131m\u0131z\u0131n",
+        0.5986858606338501
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+      [
+        "cank\u0131r\u0131",
+        0.5532304644584656
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+      [
+        "trabzon",
+        0.5171080231666565
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+      [
+        "merkezi",
+        0.5090340375900269
+      ]
+    ],
+    "3": [
+      [
+        "kanal\u0131",
+        0.5743088126182556
+      ],
+      [
+        "basdan\u0131sman\u0131m\u0131z",
+        0.5417798757553101
+      ],
+      [
+        "program\u0131nda",
+        0.5383641123771667
+      ],
+      [
+        "mehmet",
+        0.5301561951637268
+      ],
+      [
+        "yesiltepe",
+        0.4924757480621338
+      ]
+    ],
+    "4": [
+      [
+        "erdogan",
+        0.6088460087776184
+      ],
+      [
+        "k\u0131l\u0131cdaroglu",
+        0.6036186218261719
+      ],
+      [
+        "maliyetinin",
+        0.5769613981246948
+      ],
+      [
+        "ciftcilerimizin",
+        0.5688290596008301
+      ],
+      [
+        "milyonlarca",
+        0.5389319658279419
+      ]
+    ]
+  },
+  "topics": [
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+    "2": 31,
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+    "1": 65
+  },
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+    "-1": "-1_akdeniz_s\u0131g\u0131nmac\u0131lar_bakanl\u0131g\u0131_ataturk",
+    "0": "0_tas\u0131mac\u0131l\u0131g\u0131nda_merkezleri_burokratlar_sanayi",
+    "1": "1_erdogan_bakan\u0131_s\u0131g\u0131nmac\u0131lar\u0131_\u0131rkc\u0131",
+    "2": "2_konferans\u0131m\u0131za_baskanl\u0131g\u0131m\u0131z\u0131n_cank\u0131r\u0131_trabzon",
+    "3": "3_kanal\u0131_basdan\u0131sman\u0131m\u0131z_program\u0131nda_mehmet",
+    "4": "4_erdogan_k\u0131l\u0131cdaroglu_maliyetinin_ciftcilerimizin"
+  },
+  "custom_labels": null,
+  "_outliers": 1,
+  "topic_aspects": {}
+}