Difference between revisions of "Orange: Wikipedia"
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Fetching data from MediaWiki RESTful web service API. | Fetching data from MediaWiki RESTful web service API. | ||
| − | + | ==Input== | |
| − | + | None | |
| − | + | ==Output== | |
| − | + | Corpus: A collection of documents from the Wikipedia. | |
Wikipedia widget is used to retrieve texts from Wikipedia API and it is useful mostly for teaching and demonstration. | Wikipedia widget is used to retrieve texts from Wikipedia API and it is useful mostly for teaching and demonstration. | ||
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[[File:Wikipedia-stamped.png|center|200px|thumb]] | [[File:Wikipedia-stamped.png|center|200px|thumb]] | ||
| − | + | * Query parameters: | |
| − | + | ** Query word list, where each query is listed in a new line. | |
| − | + | ** Language of the query. English is set by default. | |
| − | + | ** Number of articles to retrieve per query (range 1-25). Please note that querying is done recursively and that disambiguations are also retrieved, sometimes resulting in a larger number of queries than set on the slider. | |
| − | + | * Select which features to include as text features. | |
| − | + | * Information on the output. | |
| − | + | * Produce a report. | |
| − | + | * Run query. | |
==Contoh== | ==Contoh== | ||
Revision as of 10:03, 29 January 2020
Sumber: https://orange3-text.readthedocs.io/en/latest/widgets/wikipedia-widget.html
Fetching data from MediaWiki RESTful web service API.
Input
None
Output
Corpus: A collection of documents from the Wikipedia.
Wikipedia widget is used to retrieve texts from Wikipedia API and it is useful mostly for teaching and demonstration.
- Query parameters:
- Query word list, where each query is listed in a new line.
- Language of the query. English is set by default.
- Number of articles to retrieve per query (range 1-25). Please note that querying is done recursively and that disambiguations are also retrieved, sometimes resulting in a larger number of queries than set on the slider.
- Select which features to include as text features.
- Information on the output.
- Produce a report.
- Run query.
Contoh
This is a simple example, where we use Wikipedia and retrieve the articles on ‘Slovenia’ and ‘Germany’. Then we simply apply default preprocessing with Preprocess Text and observe the most frequent words in those articles with Word Cloud.
Wikipedia works just like any other corpus widget (NY Times, Twitter) and can be used accordingly.