NL_Parser_using_Spacy
bert-sklearn
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NL_Parser_using_Spacy | bert-sklearn | |
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1 | 1 | |
22 | 293 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
- | Apache License 2.0 |
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NL_Parser_using_Spacy
bert-sklearn
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Quick BERT Pre-Trained Model for Sentiment Analysis with Scikit Wrapper
Sckit-learn wrapper provided by Charles Nainan. GitHub of Scikit Learn BERT wrapper.
What are some alternatives?
bert - TensorFlow code and pre-trained models for BERT
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.
kruk - Ukrainian instruction-tuned language models and datasets
NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.
fake-news - Building a fake news detector from initial ideation to model deployment
ABSA_Project_4 - This project takes advantange of the parsing and part of speech tagging capabilites of Spacy's pipeline in order to extract aspect/opinion/sentiment triplets. Cluster aspects using unsupervised learning to process sentiment for large amazon review datasets.
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
TabularSemanticParsing - Translating natural language questions to a structured query language
German-NER-BERT - German NER on Legal Data using BERT
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.