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BERTopic-Indonesia-Finance-News
ZhafranR/BERTopic-Indonesia-Finance-News
BERTopic-Indonesia-Finance-News is a text classification model from ZhafranR. Use it when you need a label for a piece of text. It is set up for bertopic.
This is a BERTopic model. 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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At a glance
- Task
- Text Classification
- Library
- bertopic
- Access
- Public
- Created
- Nov 4, 2023
- Updated
- Nov 4, 2023
- SHA
- b4a24bcc
Try a prompt
Model card
From the Hugging Face model README
BERTopic-Indonesia-Finance-News
This is a 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:
'''
Topic 0 -> Impact of Federal Reserve Tapering on Indonesia Financial Markets
Topic 1 -> Initial Public Offering (IPO) in Indonesia State-Owned Entreprise (BUMN)
Topic 2 -> Restructuring and Transformation of Banking in Indonesia
Topic 3 -> Impact of China's Economic Slowdown on Indonesia International Trade and Investment
Topic 4 -> Exchange Rate of Indonesian Rupiah (to US Dollar)
Topic 5 -> Legal Proceedings In Indonesian
Topic 6 -> Insurances and Membership in Indonesia
Topic 7 -> Bank Indonesian's Economics Policies and Stability Measures
'''
from bertopic import BERTopic
topic_model = BERTopic.load("ZhafranR/BERTopic-Indonesia-Finance-News")
topic_model.get_topic_info()
Topic overview
- Number of topics: 8
- Number of training documents: 74933
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| 0 | penguatan - menguat - ihsg - acuan - kamis | 28336 | 0_penguatan_menguat_ihsg_acuan |
| 1 | perseroan - keterbukaan - sepekan - kepemilikan - hmetd | 12504 | 1_perseroan_keterbukaan_sepekan_kepemilikan |
| 2 | perseroan - penyaluran - restrukturisasi - otoritas - transformasi | 11737 | 2_perseroan_penyaluran_restrukturisasi_otoritas |
| 3 | sekuritas - ihsg - squawk - saksikan - cnbcindonesia | 9410 | 3_sekuritas_ihsg_squawk_saksikan |
| 4 | menguat - penguatan - sekuritas - terpantau - jakarta | 8680 | 4_menguat_penguatan_sekuritas_terpantau |
| 5 | penyidikan - diperiksa - kejagung - penyidik - persidangan | 2616 | 5_penyidikan_diperiksa_kejagung_penyidik |
| 6 | iurannya - ketenagakerjaan - kepesertaan - pemberi - dibayarkan | 1317 | 6_iurannya_ketenagakerjaan_kepesertaan_pemberi |
| 7 | likuiditas - pencatatan - berkelanjutan - sukuk - cyclicals | 333 | 7_likuiditas_pencatatan_berkelanjutan_sukuk |
Training hyperparameters
- calculate_probabilities: False
- language: None
- low_memory: False
- min_topic_size: 100
- n_gram_range: (1, 2)
- nr_topics: None
- seed_topic_list: None
- top_n_words: 20
- verbose: True
Framework versions
- Numpy: 1.24.1
- HDBSCAN: 0.8.33
- UMAP: 0.5.4
- Pandas: 1.5.3
- Scikit-Learn: 1.3.2
- Sentence-transformers: 2.2.2
- Transformers: 4.35.0
- Numba: 0.57.1
- Plotly: 5.18.0
- Python: 3.10.6
- Task
- Text Classification
- Library
- bertopic
- Created
- Nov 4, 2023
- Updated
- Nov 4, 2023