Add BERTopic model

README.md

@@ -0,0 +1,72 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# bbc_news_topics
+
+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("CarlosMorales/bbc_news_topics")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 3
+* Number of training documents: 100
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | the - of - to - and - eu | 28 | -1_the_of_to_and | 
+| 0 | the - of - to - and - in | 6 | 0_the_of_to_and | 
+| 1 | the - to - of - and - in | 66 | 1_the_to_of_and |
+  
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: False
+* language: english
+* 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: 0.8.33
+* UMAP: 0.5.6
+* Pandas: 2.2.1
+* Scikit-Learn: 1.4.1.post1
+* Sentence-transformers: 2.6.1
+* Transformers: 4.39.3
+* Numba: 0.59.1
+* Plotly: 5.20.0
+* Python: 3.11.6

config.json

@@ -0,0 +1,17 @@
+{
+  "calculate_probabilities": false,
+  "language": "english",
+  "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,
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
+}

topic_embeddings.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab9bf8137b0dcf864c9b7043f3bc5aaa8128067943335e0417bf632b61ca4d0e
+size 4696

topics.json

@@ -0,0 +1,262 @@
+{
+  "topic_representations": {
+    "-1": [
+      [
+        "the",
+        0.13804656283058866
+      ],
+      [
+        "of",
+        0.07825405363842275
+      ],
+      [
+        "to",
+        0.0772985504098433
+      ],
+      [
+        "and",
+        0.057608023675185964
+      ],
+      [
+        "eu",
+        0.05441345274003265
+      ],
+      [
+        "in",
+        0.054258494077856614
+      ],
+      [
+        "is",
+        0.04620225771054437
+      ],
+      [
+        "brexit",
+        0.04166188146807172
+      ],
+      [
+        "european",
+        0.037377992114263486
+      ],
+      [
+        "uk",
+        0.03479815498437571
+      ]
+    ],
+    "0": [
+      [
+        "the",
+        0.10874855481558174
+      ],
+      [
+        "of",
+        0.06634622479412591
+      ],
+      [
+        "to",
+        0.06451676138637687
+      ],
+      [
+        "and",
+        0.06281384435758307
+      ],
+      [
+        "in",
+        0.06036585051618699
+      ],
+      [
+        "on",
+        0.04067850804885957
+      ],
+      [
+        "was",
+        0.0379906368007012
+      ],
+      [
+        "is",
+        0.037654043139849894
+      ],
+      [
+        "for",
+        0.03695174642522398
+      ],
+      [
+        "it",
+        0.031825849733819044
+      ]
+    ],
+    "1": [
+      [
+        "the",
+        0.12256853839401158
+      ],
+      [
+        "to",
+        0.07758366134034063
+      ],
+      [
+        "of",
+        0.06958004226056384
+      ],
+      [
+        "and",
+        0.06074592235451145
+      ],
+      [
+        "in",
+        0.055861273979050344
+      ],
+      [
+        "trump",
+        0.04639481547390947
+      ],
+      [
+        "as",
+        0.04060120868254382
+      ],
+      [
+        "that",
+        0.04004072506992107
+      ],
+      [
+        "on",
+        0.03557763021260862
+      ],
+      [
+        "for",
+        0.03549585785428864
+      ]
+    ]
+  },
+  "topics": [
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    1,
+    0,
+    -1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    0,
+    1,
+    0,
+    -1,
+    0,
+    -1,
+    0,
+    1,
+    1,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    0,
+    -1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    -1,
+    -1,
+    0,
+    0,
+    0
+  ],
+  "topic_sizes": {
+    "0": 66,
+    "1": 28,
+    "-1": 6
+  },
+  "topic_mapper": [
+    [
+      -1,
+      -1,
+      -1
+    ],
+    [
+      0,
+      0,
+      1
+    ],
+    [
+      1,
+      1,
+      0
+    ]
+  ],
+  "topic_labels": {
+    "-1": "-1_the_of_to_and",
+    "0": "0_the_of_to_and",
+    "1": "1_the_to_of_and"
+  },
+  "custom_labels": null,
+  "_outliers": 1,
+  "topic_aspects": {}
+}