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This project is designed to analyze text for the presence of sarcasm. It uses machine learning models to classify input text and determine whether it contains sarcasm.
The project utilizes the following technology stack:
FastAPI - for creating the API interface and handling requests Docker - for packaging the application and its dependencies into a container Machine learning models for text sarcasm classificationUpdated -
Natural Python is an LLM REPL which is an intermediary between you (who speaks in natural language) and the computer (who speaks Python).
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Java implementation of some of the commonly used algorithms in the realm of "Natural Language Processing".
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Your own API endpoint to perform NLP functions like semantic search, sentence embedding, etc.
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Dockerized Python microservice with REST API for verbs conjugation in French, Spanish and Portuguese
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