Skip to main content

Package for Entity Linking using WikiPedia

Project description

Entity Linking via WikiPedia

This package is used to perform Entity Linking based on Wikipedia based on user's input sentence.

Check out below github page for more details:

https://github.com/Soumyadipta-Maiti/Package-Creation

Installation of Package

pip install entitylinking-wikipedia

Sample Coding using this Package

from entitylinking_wikipedia import *

import pandas as pd

final_out = pd.DataFrame()

final_out = Entity_Linking_via_Wikipedia('I work at IBM in Kolkata in India.')

print(final_out)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

entitylinking_wikipedia-0.0.8.tar.gz (3.2 kB view details)

Uploaded Source

Built Distribution

entitylinking_wikipedia-0.0.8-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file entitylinking_wikipedia-0.0.8.tar.gz.

File metadata

File hashes

Hashes for entitylinking_wikipedia-0.0.8.tar.gz
Algorithm Hash digest
SHA256 2880e05986403eeff6d463b951b33b3a6e3b9afaa5286c1a14b077f6f4c0d252
MD5 e88d8d98198196d81af5c2b1b77266ca
BLAKE2b-256 3d41ea64bdac2cfd0ae891fd25ed3a4fc1f87ec4423eeed1cb84b1b34cf0e5c9

See more details on using hashes here.

File details

Details for the file entitylinking_wikipedia-0.0.8-py3-none-any.whl.

File metadata

File hashes

Hashes for entitylinking_wikipedia-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 7bd459835528ccbd288af4f32cf83cddb786a8f608be80cab8899e78ad3d2958
MD5 2d1028a5071cde1c3f043c73a6245a35
BLAKE2b-256 f1ca0f83fb1e39762059d4f0f0c4be68eb3a0e164b690dc62dccf8deb299e843

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page