Skip to content
/ ner_rss Public

Named entitiy recognition and sentiment analysis on news articles

Notifications You must be signed in to change notification settings

SatArw/ner_rss

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

This repository illustrates analysis on RSS news feeds using some publicly available APIs.

  1. Fetch news - read in news source via an RSS feed (using feedparser)

  2. Extract Entities - perform named enttity recognition (NER) on the unstructured text using the Thomson Reuters Intelligent Tagging(TRIT) API

  3. Sentiment analysis - perform sentiment analysis on the headlines and summaries using Textblob

  4. Creating a DataFrame - Generate a dataframe with headlines, summaries, entities, RICs, topics, headline_sentiments and summary_sentiments as columns

You should first install the requirements by running the following code: pip install -r requirements.txt

About

Named entitiy recognition and sentiment analysis on news articles

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages