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GitHub / intel / document-level-sentiment-analysis

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/intel%2Fdocument-level-sentiment-analysis

Stars: 6
Forks: 3
Open issues: 2

License: apache-2.0
Language: Python
Size: 239 KB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: 9 months ago

Topics: ai, avx-512, avx-instructions, bert-fine-tuning, bert-model, deep-learning, fine-tuning, huggingface, huggingface-transformers, inference, intel, intel-xeon, one-api, pytorch, sentiment-analysis, sentiment-classification, tensorflow, transfer-learning, transformers, xeon

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