nakuleshj/news-nlp-pipeline
A fully serverless, event-driven data pipeline that ingests, enriches, validates, and visualizes real-time news data using AWS services. Designed for cost-efficient, scalable deployment using only free-tier AWS services.
This project helps financial professionals automatically track real-time sentiment from news articles. It takes in raw financial news data, processes it using natural language processing, and then outputs a clear, interactive dashboard showing sentiment scores and trends. Financial traders, analysts, and portfolio managers can use this to monitor market sentiment for companies or sectors as it develops.
No commits in the last 6 months.
Use this if you need a cost-effective, automated way to extract and visualize sentiment from financial news in real-time, without managing complex server infrastructure.
Not ideal if you require deeper, custom NLP models beyond basic sentiment analysis or if you need to integrate with a pre-existing enterprise data warehouse.
Stars
25
Forks
3
Language
Python
License
MIT
Category
Last pushed
Aug 10, 2025
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/nakuleshj/news-nlp-pipeline"
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