Open-weight model
surabaya-opinion-tweet-clusters
by Ketut Shridhara Kiuyha/surabaya-opinion-tweet-clusters
surabaya-opinion-tweet-clusters is an open-weight model from Ketut Shridhara, released under MIT License. Its published files total 2.5 GB.
topic-modeling - kmeans - fasttext - surabaya This repository contains a set of models for performing topic modeling on tweets from Surabaya. This repository contains two key components: 1.
Model Card
By Ketut Shridhara, published under mit, revision 923ef70af7a4.
topic-modeling - kmeans - fasttext - surabaya This repository contains a set of models for performing topic modeling on tweets from Surabaya. This repository contains two key components: 1. fasttext.model: A gensim FastText model trained on processed tweet text. It is used to generate semantic vector embeddings for documents. 2. kmeans.joblib: A scikit-learn K-Means model trained on the vectors produced by the FastText model. It contains the final topic cluster centroids. Load the models using gensim, joblib, and huggingfacehub. import joblib from gensim.models import FastText from huggingfacehub import hfhubdownload REPOID = "Kiuyha/surabaya-opinion-tweet-clusters" kmeanspath =…
Read Ketut Shridhara's full model card
Topic Models for Surabaya Tweet Analysis
This repository contains a set of models for performing topic modeling on tweets from Surabaya.
Models Included
This repository contains two key components:
fasttext.model: AgensimFastText model trained on processed tweet text. It is used to generate semantic vector embeddings for documents.kmeans.joblib: Ascikit-learnK-Means model trained on the vectors produced by the FastText model. It contains the final topic cluster centroids.
How to Use
Load the models using gensim, joblib, and huggingface_hub.
```python import joblib from gensim.models import FastText from huggingface_hub import hf_hub_download
Download and load the models
REPO_ID = "Kiuyha/surabaya-opinion-tweet-clusters" kmeans_path = hf_hub_download(repo_id=REPO_ID, filename="kmeans.joblib") hf_hub_download(repo_id=REPO_ID, filename="fasttext.model.wv.vectors_ngrams.npy") fasttext_path = hf_hub_download(repo_id=REPO_ID, filename="fasttext.model")
kmeans_model = joblib.load(kmeans_path) fasttext_model = FastText.load(fasttext_path)
print(f"K-Means model loaded with {kmeans_model.n_clusters} clusters.") print(f"FastText model loaded with vector size {fasttext_model.vector_size}.")
You can now use these models for inference.
Identity and Version
- Repository
- Kiuyha/surabaya-opinion-tweet-clusters
- Publisher
- Ketut Shridhara
- Task
- Not stated by the source
- Modality
- Other
- Library
- fasttext
- Parameters
- Not stated by the source
- Languages
- id
- Revision
- 923ef70af7a43b32f016c17a54e5effc2895c0db
- First published
- 2025-10-01
- Last updated
- 2026-10-01
Files and Weights
6 files, 2.5 GB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| config.json | Configuration | 33 B | — |
| README.md | Documentation | 1.4 KB | — |
| fasttext.model | Other | 55.8 MB | 5b3c018fcdb0 |
| fasttext.model.wv.vectors_ngrams.npy | Other | 2.4 GB | f40c3a33a6f3 |
| kmeans.joblib | Other | 85.8 KB | 8d7755e561da |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- mit
- Access
- Open weights, no gate
Released by Ketut Shridhara through its official repository on Hugging Face. Read the license.
Questions About surabaya-opinion-tweet-clusters
Can I use surabaya-opinion-tweet-clusters commercially?
Yes. surabaya-opinion-tweet-clusters is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.