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NLP Sentiment Analysis Deployment
Academic Project
Dec 2024 - Dec 2024
Overview
A machine learning project that analyzes sentiment in social media posts using natural language processing techniques.
Role
ML Engineer
Project Details
Developed a sentiment analysis model using Scikit-learn to classify Twitter posts as positive or negative with 85+% accuracy and deployed it as an API via Google Cloud Run with a Flask backend.
Containerized the application with Docker, ensuring scalability and efficient deployment.
Utilized tools including Scikit-learn, Flask, Docker, Google Cloud Run, JSON APIs, and Postman.
Technologies
Python
Scikit-learn
Flask
Docker
Google Cloud Run
Tools
Scikit-learn
Flask
Docker
Google Cloud Run
JSON APIs
Postman
Skills Applied
Python
Machine Learning
API Design