Difference between revisions of "Orange: Pubmed"

Latest revision as of 11:06, 11 April 2020

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

Widget PubMed mengambil data dari PubMed journal.

Input

None

Output

Corpus: A collection of documents from the PubMed online service.

PubMed mempunyai lebih dari 26 juta untuk literatur biomedical dari MEDLINE, life science journal, dan buku online. Widget PubMed memungkinkan kita untuk melakukan query dan mengambil entry ini. Kita dapat menggunakan fasilitas search biasa atau membuat advanced query.

Enter a valid e-mail to retrieve queries.
Regular search:
- Author: queries entries from a specific author. Leave empty to query by all authors.
- From: define the time frame of publication.
- Query: enter the query. Advanced search: enables you to construct complex queries. See PubMed’s website to learn how to construct such queries. You can also copy-paste constructed queries from the website.
Find records finds available data from PubMed matching the query. Number of records found will be displayed above the button.
Define the output. All checked features will be on the output of the widget.
Set the number of record you wish to retrieve. Press Retrieve records to get results of your query on the output. Below the button is an information on the number of records on the output.

Contoh

Widget PubMed dapat digunakan sama seperti widget data lainnya. Dalam contoh ini kita telah menanyakan database untuk record tentang anggrek (orchid). Kita mengambil 1000 record dan hanya menyimpan 'abstract' di fitur meta untuk membatasi pembuatan token hanya untuk fitur ini.

Kita menggunakan widget Preprocess Text untuk menghapus stopword dan kata-kata yang lebih pendek dari 3 karakter (regexp \b\w{1,2}\ b). Ini mungkin akan menghilangkan beberapa kata penting yang menunjukkan bahan kimia, jadi kita harus berhati-hati dengan apa yang kita saring. Demi pemeriksaan cepat kita hanya mempertahankan kata-kata yang lebih panjang, yang ditampilkan berdasarkan frekuensi di widget Word Cloud.

Referensi

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

Pranala Menarik

Orange

@@ Line 1: / Line 1: @@
 Sumber: https://orange3-text.readthedocs.io/en/latest/widgets/pubmed.html
-etch data from PubMed journals.
+Widget PubMed mengambil data dari PubMed journal.
-Inputs
+==Input==
-    None
+ None
-Outputs
+==Output==
-    Corpus: A collection of documents from the PubMed online service.
+ Corpus: A collection of documents from the PubMed online service.
-PubMed comprises more than 26 million citations for biomedical literature from MEDLINE, life science journals, and online books. The widget allows you to query and retrieve these entries. You can use regular search or construct advanced queries.
+PubMed mempunyai lebih dari 26 juta untuk literatur biomedical dari MEDLINE, life science journal, dan buku online. Widget PubMed memungkinkan kita untuk melakukan query dan mengambil entry ini. Kita dapat menggunakan fasilitas search biasa atau membuat advanced query.
 [[File:Pubmed-stamped.png|center|200px|thumb]]
-    Enter a valid e-mail to retrieve queries.
+* Enter a valid e-mail to retrieve queries.
-    Regular search:
+* Regular search:
-        Author: queries entries from a specific author. Leave empty to query by all authors.
+** Author: queries entries from a specific author. Leave empty to query by all authors.
-        From: define the time frame of publication.
+** From: define the time frame of publication.
-        Query: enter the query. Advanced search: enables you to construct complex queries. See PubMed’s website to learn how to construct such queries. You can also copy-paste constructed queries from the website.
+** Query: enter the query. Advanced search: enables you to construct complex queries. See PubMed’s website to learn how to construct such queries. You can also copy-paste constructed queries from the website.
-    Find records finds available data from PubMed matching the query. Number of records found will be displayed above the button.
+* Find records finds available data from PubMed matching the query. Number of records found will be displayed above the button.
-    Define the output. All checked features will be on the output of the widget.
+* Define the output. All checked features will be on the output of the widget.
-    Set the number of record you wish to retrieve. Press Retrieve records to get results of your query on the output. Below the button is an information on the number of records on the output.
+* Set the number of record you wish to retrieve. Press Retrieve records to get results of your query on the output. Below the button is an information on the number of records on the output.
 ==Contoh==
-PubMed can be used just like any other data widget. In this example we’ve queried the database for records on orchids. We retrieved 1000 records and kept only ‘abstract’ in our meta features to limit the construction of tokens only to this feature.
+Widget PubMed dapat digunakan sama seperti widget data lainnya. Dalam contoh ini kita telah menanyakan database untuk record tentang anggrek (orchid). Kita mengambil 1000 record dan hanya menyimpan 'abstract' di fitur meta untuk membatasi pembuatan token hanya untuk fitur ini.
-[[File:Pubmed-Example.png|center|200px|thumb]]
-We used Preprocess Text to remove stopword and words shorter than 3 characters (regexp \b\w{1,2}\b). This will perhaps get rid of some important words denoting chemicals, so we need to be careful with what we filter out. For the sake of quick inspection we only retained longer words, which are displayed by frequency in Word Cloud.
+[[File:Pubmed-Example.png|center|600px|thumb]]
+Kita menggunakan widget Preprocess Text untuk menghapus stopword dan kata-kata yang lebih pendek dari 3 karakter (regexp \b\w{1,2}\ b). Ini mungkin akan menghilangkan beberapa kata penting yang menunjukkan bahan kimia, jadi kita harus berhati-hati dengan apa yang kita saring. Demi pemeriksaan cepat kita hanya mempertahankan kata-kata yang lebih panjang, yang ditampilkan berdasarkan frekuensi di widget Word Cloud.
 ==Referensi==