shantanudave
commited on
Commit
•
b8d1bc5
1
Parent(s):
dd2f7a1
Add BERTopic model
Browse files- README.md +87 -0
- config.json +17 -0
- ctfidf.safetensors +3 -0
- ctfidf_config.json +3638 -0
- topic_embeddings.safetensors +3 -0
- topics.json +0 -0
README.md
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---
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tags:
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- bertopic
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library_name: bertopic
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pipeline_tag: text-classification
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---
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# BERTopic_v20240630_184948
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
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## Usage
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To use this model, please install BERTopic:
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```
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pip install -U bertopic
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```
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You can use the model as follows:
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```python
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from bertopic import BERTopic
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topic_model = BERTopic.load("shantanudave/BERTopic_v20240630_184948")
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topic_model.get_topic_info()
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```
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## Topic overview
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* Number of topics: 18
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* Number of training documents: 8526
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<details>
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<summary>Click here for an overview of all topics.</summary>
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| Topic ID | Topic Keywords | Topic Frequency | Label |
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|----------|----------------|-----------------|-------|
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| 0 | payment - pay - card - bank - money | 742 | Payment Issues Detection |
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| 1 | load - slow - search - article - doesnt | 705 | Slow Search Function |
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| 2 | clothes - clothing - size - fashion - large size | 683 | Large Size Quality Clothing |
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| 3 | bon - - - - | 668 | bon documents collection |
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| 4 | clear - intuitive - clear easy - recommend - selection | 665 | Easy Clear Navigation |
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| 5 | - - - - | 649 | Keyword-Driven Document Analysis |
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| 6 | shopping - staff - friendly - store - satisfy | 578 | Friendly staff satisfaction |
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| 7 | delivery - fast delivery - fast - shipping - ship | 563 | Fast Delivery Quality |
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| 8 | cart - shop cart - log - password - add | 548 | Shopping Cart Issues |
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| 9 | easy use - easy - use - use easy - quick easy | 531 | Quick & Easy Solutions |
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| 10 | awesome - excellent - think - clearly - phenomenal | 462 | Really Phenomenal Clear Thinking |
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| 11 | quality - price - quality quality - price quality - comfortable | 454 | Excellent Quality Price |
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| 12 | work work - work - work quickly - flawlessly - work flawlessly | 390 | Efficient Flawless Work |
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| 13 | super super - super - superb - superb super - super friendly | 349 | Superb Friendly Coat |
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| 14 | really simple - ra - solve problem - control - satisfied easy | 145 | User-Friendly Problem Solver |
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| 15 | clear clear - clear - fast clear - clear fast - super clear | 144 | Clear and Transparent Working |
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| 16 | discover - stuff good - stuff - fact - clearly | 129 | Discovering Interesting Facts |
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| 17 | satisfied - satisfaction - totally satisfied - satisfied good - completely satisfied | 121 | Utmost Satisfaction |
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</details>
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## Training hyperparameters
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* calculate_probabilities: True
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* language: None
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* low_memory: False
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* 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: True
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* zeroshot_min_similarity: 0.7
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* zeroshot_topic_list: None
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## Framework versions
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* Numpy: 1.23.5
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* HDBSCAN: 0.8.33
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* UMAP: 0.5.5
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* Pandas: 1.3.5
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* Scikit-Learn: 1.4.1.post1
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* Sentence-transformers: 2.6.1
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* Transformers: 4.41.2
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* Numba: 0.59.1
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* Plotly: 5.22.0
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* Python: 3.10.13
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config.json
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{
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"calculate_probabilities": true,
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"language": null,
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"low_memory": false,
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"min_topic_size": 10,
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"n_gram_range": [
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1,
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1
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],
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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": true,
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"zeroshot_min_similarity": 0.7,
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"zeroshot_topic_list": null,
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"embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
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}
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ctfidf.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6a1e538f7fba927e5701721e9d4fcf992508bfe26361ee865553841541c1bfd
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size 160840
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ctfidf_config.json
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|
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|
3637 |
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}
|
3638 |
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}
|
topic_embeddings.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f4cdc1d9f0a462a5d7e5e305b3215dd4d016e979712014e7152e43ea43cd767a
|
3 |
+
size 27736
|
topics.json
ADDED
The diff for this file is too large to render.
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|
|