https://github.com/tj2904/pp-api

An API providing sentiment-scored news for PositivePress using the Vader NLP algorithm. A consuming frontend can be found at: https://github.com/tj2904/positive-press
https://github.com/tj2904/pp-api

beautifulsoup fastapi feedparser nltk vader-sentiment-analysis

Last synced: 4 months ago
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An API providing sentiment-scored news for PositivePress using the Vader NLP algorithm. A consuming frontend can be found at: https://github.com/tj2904/positive-press

• Host: GitHub
• URL: https://github.com/tj2904/pp-api
• Owner: tj2904
• Created: 2023-03-02T22:06:23.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-10-16T21:38:09.000Z (8 months ago)
• Last Synced: 2024-12-28T08:10:03.503Z (6 months ago)
• Topics: beautifulsoup, fastapi, feedparser, nltk, vader-sentiment-analysis
• Language: Python
• Homepage: https://positive-press-api.herokuapp.com/docs
• Size: 66.4 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Positive Press - Python API Backend

![pp-api](https://github.com/tj2904/pp-api/assets/3164936/87d707c0-309e-4184-92f1-74390d9037f9)

A Python API that uses Natural Language Processing (NLP), specifically the Vader algorithm to analyse news headlines and provide a curated feed of news ranked by positivity. 

This is served by the backend app using FastAPI, and stored in a NoSQL database. The [documentation](https://positive-press-api.herokuapp.com/docs/) of the endpoints is provided using Swagger. 

There is also a consuming [frontend app](https://positive-press.vercel.app/) and [repo](https://www.github.com/tj2904/postive-press).

More can be read about this project on my [Portfolio](https://tj2904.com/pp-api).

### Tech Stack:

* Python

* Pandas

* NoSQL

* FastAPI

* Pydantic

* Swagger - API documentation

* Pytest

* Sentry