Wikiproject | Scripts for parsing and analysing locations on Wikipedia | Wiki library

by oxfordinternetinstitute Python Version: Current License: No License

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kandi X-RAY | Wikiproject Summary

Wikiproject is a Python library typically used in Web Site, Wiki applications. Wikiproject has no bugs, it has no vulnerabilities and it has low support. However Wikiproject build file is not available. You can download it from GitHub.

Scripts for parsing and analysing locations on Wikipedia

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Wikiproject has a low active ecosystem.

It has 9 star(s) with 3 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

Wikiproject has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Wikiproject is current.

Quality

Wikiproject has no bugs reported.

Security

Wikiproject has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Wikiproject does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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Wikiproject releases are not available. You will need to build from source code and install.

Wikiproject has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Wikiproject and discovered the below as its top functions. This is intended to give you an instant insight into Wikiproject implemented functionality, and help decide if they suit your requirements.

Scans the given langxml file .
Counts the number of places in the list
Handles end of an element
Calculate the verbose relation .
compares two lists
Create an author network .
loadazeteers list
Merge two files
Lists the difference between two dictionaries
Updates the dictionary with the template information .

Get all kandi verified functions for this library.

Wikiproject Key Features

No Key Features are available at this moment for Wikiproject.

Wikiproject Examples and Code Snippets

No Code Snippets are available at this moment for Wikiproject.

Community Discussions

Trending Discussions on Wikiproject

Recreate Wikipedia list of states by GDP with SPARQL query

How to group wikipedia categories in python?

How to get wikipedia data of Wikiprojects?

QUESTION

Recreate Wikipedia list of states by GDP with SPARQL query

Asked 2021-May-18 at 13:14

I am trying to recreate this list:

https://en.wikipedia.org/wiki/List_of_states_and_territories_of_the_United_States_by_GDP

with a Wikidata SPARQL query.

I can find states by population with this query

Additionally, the fields:

population (P1082)
GDP (P2131)
And some extra ones, like unemployment (P1198)

are covered by the wikiproject economics, though only at the country level.

That said, seeing the "List of states and territories of the United States by GDP" article makes me think at least P2131 may be available at the state level.

I have tried the following query.

...

ANSWER

Answered 2021-May-18 at 13:14

Because of a Wikidata internal convention, I had to upload the GPD data in the items about the States' economies, that are linked through property P8744.

E.g., for the State of Maine you'll find the data in economy of Maine.

This is the correct query for obtaining what you want (test):

Source https://stackoverflow.com/questions/67573952

QUESTION

How to group wikipedia categories in python?

Asked 2019-Feb-20 at 11:58

For each concept of my dataset I have stored the corresponding wikipedia categories. For example, consider the following 5 concepts and their corresponding wikipedia categories.

hypertriglyceridemia: ['Category:Lipid metabolism disorders', 'Category:Medical conditions related to obesity']
enzyme inhibitor: ['Category:Enzyme inhibitors', 'Category:Medicinal chemistry', 'Category:Metabolism']
bypass surgery: ['Category:Surgery stubs', 'Category:Surgical procedures and techniques']
perth: ['Category:1829 establishments in Australia', 'Category:Australian capital cities', 'Category:Metropolitan areas of Australia', 'Category:Perth, Western Australia', 'Category:Populated places established in 1829']
climate: ['Category:Climate', 'Category:Climatology', 'Category:Meteorological concepts']

As you can see, the first three concepts belong to medical domain (whereas the remaining two terms are not medical terms).

More precisely, I want to divide my concepts as medical and non-medical. However, it is very difficult to divide the concepts using the categories alone. For example, even though the two concepts enzyme inhibitor and bypass surgery are in medical domain, their categories are very different to each other.

Therefore, I would like to know if there is a way to obtain the parent category of the categories (for example, the categories of enzyme inhibitor and bypass surgery belong to medical parent category)

I am currently using pymediawiki and pywikibot. However, I am not restricted to only those two libraries and happy to have solutions using other libraries as well.

EDIT

As suggested by @IlmariKaronen I am also using the categories of categories and the results I got is as follows (The small font near the category is the categories of the category).

However, I still could not find a way to use these category details to decide if a given term is a medical or non-medical.

Moreover, as pointed by @IlmariKaronen using Wikiproject details can be potential. However, it seems like the Medicine wikiproject do not seem to have all the medical terms. Therefore we also need to check other wikiprojects as well.

EDIT: My current code of extracting categories from wikipedia concepts is as follows. This could be done using pywikibot or pymediawiki as follows.

Using the librarary pymediawiki

import mediawiki as pw
...

ANSWER

Answered 2019-Feb-16 at 00:56

The question appears a little unclear to me and does not seem like a straightforward problem to solve and may require some NLP model. Also,the words concept and categories are interchangeably used. What I understand is that the concepts such as enzyme inhibitor, bypass surgery and hypertriglyceridimia need to be combined together as medical and the rest as non medical. This problem will require more data than just the category names. A corpus is required to train an LDA model(for instance) where the entire text information is fed to the algorithm and it returns the most likely topics for each of the concepts.

https://www.analyticsvidhya.com/blog/2018/10/stepwise-guide-topic-modeling-latent-semantic-analysis/

Source https://stackoverflow.com/questions/54625493

QUESTION

How to get wikipedia data of Wikiprojects?

Asked 2019-Feb-19 at 05:17

I recently found that wikipedia has Wikiprojects that are categorised based on discipline (https://en.wikipedia.org/wiki/Category:WikiProjects_by_discipline). As shown in the link it has 34 disciplines.

I would like to know if it is possible to get all the wikipedia articles that is related to each of these wikipedia disciplines.

For example, consider WikiProject Computer science‎. Is it possible to get all the computer science related wikipedia articles using WikiProject Computer science‎ category? If so, are there any data dumps related to it or is there any other way to obtain these data?

I am currently using python (i.e. pywikibot and pymediawiki). However, I am happy to receive answers in other languages as well.

I am happy to provide more details if needed.

...

ANSWER

Answered 2019-Feb-17 at 09:43

You can use API:Categorymembers to get the list of sub categories and pages. set "cmtype" parameter to "subcat" to get subcategories and "cmnamespace" to "0" to get articles.

Also you can get the list from database (category hierarchy information in categorylinks table and article information in page table)

Source https://stackoverflow.com/questions/54729496

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Wikiproject

You can download it from GitHub.
You can use Wikiproject like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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