This is a demonstration of named entity recognition.

Searching relevant millions of news articles based on keywords is time consuming. To make Search more affective, main focus is to cut down the time cost by indexing the news articles by tagging the important keywords of each news article.

• Python3 installed
• pip installed

main.py [-h] tag [word]

Recognizes the named entites

positional arguments:

1. tag -- Required(The tag with which to recognize)
2. word -- Optional(The tag with which to refine the query)

optional arguments: -h, --help show this help message and exit

Required. The tag with which the entities will be recognized. List of Tags --> 'PERSON','ORGANIZATION','LOCATION'

Optional. The word with which given tag will be filtered.

main.py ORGANIZATION Results-> Filter news related to all Organizations.

main.py ORGANIZATION Apple Results-> Filter news related to Apple Organization.