curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch
Quickly set up a service that can determine the emotional tone of text, such as customer feedback or social media comments. You provide written text, and it returns whether the sentiment is negative, neutral, or positive, along with confidence scores. This is ideal for product managers, customer experience analysts, or marketers who need to understand public opinion or user feedback at scale.
209 stars. No commits in the last 6 months.
Use this if you need a pre-built sentiment analysis tool to automatically categorize text data into positive, neutral, or negative sentiment.
Not ideal if you need to perform more complex text analysis tasks beyond basic sentiment classification, or if you need to train a model from scratch with your own custom labels.
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209
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62
Language
Python
License
MIT
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Last pushed
Dec 08, 2022
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