- bert-sklearn VS bert
- bert-sklearn VS OpenAI-CLIP
- bert-sklearn VS kruk
- bert-sklearn VS NLU-engine-prototype-benchmarks
- bert-sklearn VS fake-news
- bert-sklearn VS ABSA_Project_4
- bert-sklearn VS tf-transformers
- bert-sklearn VS TabularSemanticParsing
- bert-sklearn VS German-NER-BERT
- bert-sklearn VS pytorch-sentiment-analysis
Bert-sklearn Alternatives
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InfluxDB
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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.
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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.
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tf-transformers
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pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
bert-sklearn reviews and mentions
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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.
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charles9n/bert-sklearn is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of bert-sklearn is Jupyter Notebook.
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