Faizhal Dataverse

Dataverse ini berisi dataset penelitian Faizhal Arif Santosa.

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21 to 30 of 50 Results

Bertopic_Female_Lib.ipynb Jun 11, 2024 - Topic modeling on articles about female librarians Jupyter Notebook - 142.6 KB - MD5: ebd2da2f8254b7f4f39d9efc06ff1bd7
female_clean.json Jun 11, 2024 - Topic modeling on articles about female librarians JSON - 98.3 KB - MD5: ef0e35e8395ca2eab02fa7e5381513db
scattertext.ipynb Jun 11, 2024 - Topic modeling on articles about female librarians Jupyter Notebook - 2.7 MB - MD5: 27f93897d3a847a89676bcd8ba0aedac
search-query.txt Jun 11, 2024 - Topic modeling on articles about female librarians Plain Text - 317 B - MD5: 417a669b10c95d77f3ef076f6aedc4c9
Replication Data for: Prior Steps into Bibliometric Mapping Apr 14, 2023 Santosa, Faizhal Arif, 2023, "Replication Data for: Prior Steps into Bibliometric Mapping", https://hdl.handle.net/20.500.12690/RIN/XMCUUX, RIN Dataverse, V2 The goal of this research is to use text mining to perform pre-processing to find the basic terms of the keywords that appear – to construct a controlled vocabulary for a bibliographic dataset essentially. The method used in this study is cleaning keywords with the stemming metho...
readme.txt Apr 14, 2023 - Replication Data for: Prior Steps into Bibliometric Mapping Plain Text - 627 B - MD5: 926044e5fa07f2483b2734752d00ac24 Documentation
Using Bidirected Graphs to Map Keywords Apr 14, 2023 Santosa, Faizhal Arif, 2023, "Using Bidirected Graphs to Map Keywords", https://hdl.handle.net/20.500.12690/RIN/FVO7XK, RIN Dataverse, V1 This study attempts to demonstrate the significance of considering two-way relationships by proposing a keyword network formed using bidirected graphs and association rules to examine the two-way relationship of two or more keywords.
bidirected.py Apr 14, 2023 - Using Bidirected Graphs to Map Keywords Python Source Code - 5.5 KB - MD5: 05b6c9973a0ea4369e55b5ef0d2b8473 Code
jdis-map.json Apr 14, 2023 - Using Bidirected Graphs to Map Keywords JSON - 289.4 KB - MD5: 19afee45dee645cef384240b6e953abe Code VOSviewer JSON files
process.xml Feb 14, 2023 - Replication Data for: Prior Steps into Bibliometric Mapping XML - 26.1 KB - MD5: 144b2b87e6527469e2686ee7c9d77550 Code

Bertopic_Female_Lib.ipynb

Jun 11, 2024 - Topic modeling on articles about female librarians

Jupyter Notebook - 142.6 KB -

female_clean.json

Jun 11, 2024 - Topic modeling on articles about female librarians

JSON - 98.3 KB -

scattertext.ipynb

Jun 11, 2024 - Topic modeling on articles about female librarians

Jupyter Notebook - 2.7 MB -

search-query.txt

Jun 11, 2024 - Topic modeling on articles about female librarians

Plain Text - 317 B -

Replication Data for: Prior Steps into Bibliometric Mapping

Apr 14, 2023

Santosa, Faizhal Arif, 2023, "Replication Data for: Prior Steps into Bibliometric Mapping", https://hdl.handle.net/20.500.12690/RIN/XMCUUX, RIN Dataverse, V2

The goal of this research is to use text mining to perform pre-processing to find the basic terms of the keywords that appear – to construct a controlled vocabulary for a bibliographic dataset essentially. The method used in this study is cleaning keywords with the stemming metho...

readme.txt

Apr 14, 2023 - Replication Data for: Prior Steps into Bibliometric Mapping

Plain Text - 627 B -

Documentation

Using Bidirected Graphs to Map Keywords

Apr 14, 2023

Santosa, Faizhal Arif, 2023, "Using Bidirected Graphs to Map Keywords", https://hdl.handle.net/20.500.12690/RIN/FVO7XK, RIN Dataverse, V1

This study attempts to demonstrate the significance of considering two-way relationships by proposing a keyword network formed using bidirected graphs and association rules to examine the two-way relationship of two or more keywords.

bidirected.py

Apr 14, 2023 - Using Bidirected Graphs to Map Keywords

Python Source Code - 5.5 KB -

Code

jdis-map.json

Apr 14, 2023 - Using Bidirected Graphs to Map Keywords

JSON - 289.4 KB -

Code

VOSviewer JSON files

process.xml

Feb 14, 2023 - Replication Data for: Prior Steps into Bibliometric Mapping

XML - 26.1 KB -

Code

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