GTS

Arabic Named Entity Recognition and Classification (NERC) system from live Arabic web pages using Google Translate and Stanford NERC.

Input:

URL for an Arabic web page

Output:

Named Entities (Location, Person, Organization) in Arabic and English.

Usage:

$ python gts.py URL

Example:

$ python gts.py https://www.aljazeera.net/news/politics/2022/3/8/%D8%AA%D9%88%D9%86%D8%B3-%D8%A7%D9%84%D8%AF%D8%A7%D8%AE%D9%84%D9%8A%D8%A9-%D8%AA%D9%86%D9%87%D9%8A-%D9%82%D8%B1%D8%A7%D8%B1-%D8%A7%D9%84%D8%A5%D9%82%D8%A7%D9%85%D8%A9

output:

Requirements:

JRE 8

Python 3.X

The following Python Libraries:

boilerpy3

googletrans==3.1.0a0

nltk

os

sys

requests