DLSA is Intel optimized representative End-to-end Fine-Tuning & Inference pipeline for Document level sentiment analysis using BERT model implemented with Hugging face transformer API. the code supports single node and multinode implementations.
Document Level Sentiment Analysis is an End-to-End deep learning workflow using Hugging Face transformers API to do a "classification" task at document level, to analyze the sentiment of input document containing English sentences or paragraphs.
DLSA is Intel optimized representative End-to-end Fine-Tuning & Inference pipeline for Document level sentiment analysis using BERT model implemented with Hugging face transformer API. the code supports single node and multinode implementations.
Document Level Sentiment Analysis is an End-to-End deep learning workflow using Hugging Face transformers API to do a "classification" task at document level, to analyze the sentiment of input document containing English sentences or paragraphs.
https://intel.github.io/document-level-sentiment-analysis/
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