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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.

Home Page: https://intel.github.io/document-level-sentiment-analysis/

License: Apache License 2.0

Shell 41.48% Python 58.52%
ai avx-512 avx-instructions bert-fine-tuning bert-model deep-learning fine-tuning huggingface huggingface-transformers inference

document-level-sentiment-analysis's Introduction

E2E DLSA

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.

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