Difference between revisions of "Orange: Wikipedia"

Revision as of 17:02, 11 April 2020

Sumber: https://orange3-text.readthedocs.io/en/latest/widgets/wikipedia-widget.html

Widget Wikipedia dapat mengambil data dari 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

Dalam workflow sederhana berikut, kita menggunakan widget Wikipedia dan menggambil tulisan tentang ‘Slovenia’ dan ‘Germany’. Kemudian, melakukan preprocessing menggunakan widget Preprocess Text dan mengamati kata yang paling sering muncul dalam tulisan-tulisan tersebut menggunakan widget Word Cloud.

WIdget Wikipedia bekerja seperti corpus widget lainnya (NY Times, Twitter) dan dapat digunakan seperti mereka.

Referensi

https://orange3-text.readthedocs.io/en/latest/widgets/wikipedia-widget.html

Pranala Menarik

Orange

@@ Line 1: / Line 1: @@
 Sumber: https://orange3-text.readthedocs.io/en/latest/widgets/wikipedia-widget.html
+Widget Wikipedia dapat mengambil data dari MediaWiki RESTful web service API.
-Fetching data from MediaWiki RESTful web service API.
 ==Input==
@@ Line 27: / Line 26: @@
 ==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.
+Dalam workflow sederhana berikut, kita menggunakan widget Wikipedia dan menggambil tulisan tentang ‘Slovenia’ dan ‘Germany’. Kemudian, melakukan preprocessing menggunakan widget Preprocess Text dan mengamati kata yang paling sering muncul dalam tulisan-tulisan tersebut menggunakan widget Word Cloud.
-[[File:Wikipedia-Example.png|center|200px|thumb]]
+[[File:Wikipedia-Example.png|center|600px|thumb]]
-Wikipedia works just like any other corpus widget (NY Times, Twitter) and can be used accordingly.
+WIdget Wikipedia bekerja seperti corpus widget lainnya (NY Times, Twitter) dan dapat digunakan seperti mereka.