Sentiment Analysis Template #88
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Template Description
This template provides a sentiment analysis API designed to process text input and determine its sentiment—categorized as positive, negative, or neutral. It utilizes a pre-trained AI model to analyze the sentiment and delivers results in multiple formats, such as sentiment labels, confidence scores, emojis, star ratings, and numeric ratings. The API is crafted to be flexible, user-friendly, and seamlessly integrable into a wide range of applications, making it a versatile tool for text-based sentiment evaluation.
Intended Use-Case
The sentiment analysis template is tailored for developers and businesses needing real-time text sentiment analysis. It can be applied in various practical scenarios, including:
Customer Feedback Analysis: Evaluating sentiments from reviews, surveys, or support tickets to gauge customer satisfaction.
Social Media Monitoring: Tracking brand sentiment on platforms like Twitter for reputation management.
Chatbot Enhancement: Enabling sentiment-aware responses in chatbots or virtual assistants to improve user interactions.
Business Insights: Powering dashboards with sentiment data for marketing, customer service, or product development teams.
Implementation Specifics
Model Used: The template leverages the cardiffnlp/twitter-xlm-roberta-base-sentiment model from Hugging Face Transformers, a cutting-edge, multilingual sentiment analysis model trained on diverse datasets.
Technologies: It is built using FastAPI for a lightweight and efficient API framework and is containerized with Docker for straightforward deployment.
Resources Required: A GPU is recommended for optimal performance due to the computational demands of the AI model, though it can run on CPU with reduced efficiency.
Input/Output: The API accepts text input through a POST request to the /analyze endpoint and returns a JSON response containing the sentiment analysis results (e.g., label, score, and additional formats).
Key Files:
job-definition.json: Configures the Nosana job specifications.
info.json: Supplies metadata for display on the Nosana Dashboard.
README.md: Offers comprehensive documentation, including setup instructions and usage examples.