Finbert_embedding
Token and sentence level embeddings from FinBERT model (Finance Domain)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Multi Class Text Classification Cnn | 388 | 6 years ago | 24 | apache-2.0 | Python | |||||
| Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow. | ||||||||||
| Nlp Stock Prediction | 34 | 5 years ago | Jupyter Notebook | |||||||
| Finbert_embedding | 11 | 4 years ago | 9 | March 31, 2021 | 1 | mit | Python | |||
| Token and sentence level embeddings from FinBERT model (Finance Domain) | ||||||||||
| Kf Deberta Multitask | 8 | 4 months ago | cc-by-sa-4.0 | Python | ||||||
| 금융 도메인에 특화된 한국어 임베딩 모델 | ||||||||||
| Nlp_topic_embeddings | 6 | 6 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| Classifying financial complaints into >400 categories, using Natural Language Processing (NLP) and deep-learning. Specifically, I explore the using of "topic embedding" (inspired by the InstaCart models) to reduce the effective dimensionality of the financial "sub-issues" into a low-dimension space. This was a demo-project for Insight Data Toronto | ||||||||||
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Python
Token
Finance
Embeddings