Fermé

Categorizing Wikipedia Articles

Greetings. I have an accumulated collection of around ~50,000 un-categorized Wikipedia article's URLs.

I'd like to sort these URLs and assign them to its respected category.

I have established the general parent-categories which I felt the articles should fall into and are listed below.

Architecture, Arts, Film and Music

Communication, Education and Literature

Companies and Organizations

Economics and Finance

Energy and Environment

Food and Drink

Geography and Places

Health and Medicine

Law and Politics

Mathematics

Media (Books, Movies and TV)

People

Philosophy and Psychology

Recreation and Sports

Religion and Spirituality

Science and Technology

Social Science (Anthropology, History and Sociology)

These are just the parent categories; each article should then be sorted by its sub-categories as well (for eg., in Mathematics - Probability, Geometry; in Geography - Cities, National Parks, Islands; in Religion - Buddhism, Judaism; in Technology - Networking, AI; in People - Business, Sports, Politics, etc.)

-----------------

Example

Uncategorized:

[url removed, login to view]

[url removed, login to view](philosophy)

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

[url removed, login to view]

-----------------

Categorized:

[Communication - Journalism]

[url removed, login to view]

[Communication - Literature]

[url removed, login to view]

[Companies - Financial]

[url removed, login to view]

[Companies - Media]

[url removed, login to view]

[Companies - Technology]

[url removed, login to view]

[Companies - Transport]

[url removed, login to view]

[Finance - Foreign Exchange]

[url removed, login to view]

[Finance - Insurance]

[url removed, login to view]

[Finance - Options]

[url removed, login to view]

[Finance - Taxation]

[url removed, login to view]

[Health - Diseases]

[url removed, login to view]

[Health - Sleep]

[url removed, login to view]

[Geography - Parks]

[url removed, login to view]

[Geography - Salt Flats]

[url removed, login to view]

[Geography - Valleys]

[url removed, login to view]

[People - Artist]

[url removed, login to view]

[People - Businessmen]

[url removed, login to view]

[People - Philosopher]

[url removed, login to view]

[People - Politics]

[url removed, login to view]

[People - Sports]

[url removed, login to view]

[Philosophy]

[url removed, login to view]

[Philosophy - Concepts]

[url removed, login to view](philosophy)

[Religion - Buddhism]

[url removed, login to view]

[Religion - Hinduism]

[url removed, login to view]

I don't know whats the best approach to tackle this task, so kindly propose and demonstrate your method.

I also came across a few very helpful links which I can forward to you.

Compétences : Saisie de Données, Traitement de Données, Science des données, Web Scraping, Wikipedia

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Concernant l'employeur :
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