21 to 30 of 49 Results
Jun 11, 2024 -
Topic modeling on articles about female librarians
JSON - 98.3 KB -
MD5: ef0e35e8395ca2eab02fa7e5381513db
|
Jun 11, 2024 -
Topic modeling on articles about female librarians
Jupyter Notebook - 2.7 MB -
MD5: 27f93897d3a847a89676bcd8ba0aedac
|
Jun 11, 2024 -
Topic modeling on articles about female librarians
Plain Text - 317 B -
MD5: 417a669b10c95d77f3ef076f6aedc4c9
|
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... |
Apr 14, 2023 -
Replication Data for: Prior Steps into Bibliometric Mapping
Plain Text - 627 B -
MD5: 926044e5fa07f2483b2734752d00ac24
|
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. |
Apr 14, 2023 -
Using Bidirected Graphs to Map Keywords
Python Source Code - 5.5 KB -
MD5: 05b6c9973a0ea4369e55b5ef0d2b8473
|
Apr 14, 2023 -
Using Bidirected Graphs to Map Keywords
JSON - 289.4 KB -
MD5: 19afee45dee645cef384240b6e953abe
VOSviewer JSON files |
Feb 14, 2023 -
Replication Data for: Prior Steps into Bibliometric Mapping
XML - 26.1 KB -
MD5: 144b2b87e6527469e2686ee7c9d77550
|
Sep 7, 2022
Santosa, Faizhal Arif, 2022, "Automatic Classification of Final Assignments at the Nuclear Polytechnic Library", https://hdl.handle.net/20.500.12690/RIN/ASRGVO, RIN Dataverse, V1, UNF:6:09UDlOYwsFIbAm3okl4BHg== [fileUNF]
This study aimed to look for a method to automatically classify the final projects of Indonesian Nuclear Technology Polytechnic students. |