Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kimiya Fujisawa"'
Publikováno v:
Knowledge Engineering and Data Science, Vol 6, Iss 1, Pp 57-68 (2023)
Automatic summarization is reducing a text document with a computer program to create a summary that retains the essential parts of the original document. Automatic summarization is necessary to deal with information overload, and the amount of data
Externí odkaz:
https://doaj.org/article/0df78b472e9a416a9099e85ff4e686ae
Autor:
Setiawan, Esther Irawati, Dharmawan, Willyanto, Halim, Kevin Jonathan, Joan Santoso, Ferdinandus, F. X., Kimiya Fujisawa, Purnomo, Mauridhi Hery
Publikováno v:
International Journal of Intelligent Engineering & Systems; 2024, Vol. 17 Issue 5, p517-537, 21p
Publikováno v:
International Journal of Intelligent Engineering and Systems. 14:410-420
Autor:
Ferry Ferry, Surya Sumpeno, Kimiya Fujisawa, Esther Irawati Setiawan, Mauridhi Hery Purnomo, Joan Santoso
Publikováno v:
International Journal of Intelligent Engineering and Systems. 13:392-407
Autor:
Arya Tandy Hermawan, Lukas Kristianto, Mauridhi Hery Purnomo, Esther Irawati Setiawan, Joan Santoso, Kimiya Fujisawa
Publikováno v:
2021 3rd East Indonesia Conference on Computer and Information Technology (EIConCIT).
Social media is the leading platform were users’ express opinions and emotions. Emotion Analysis aims to identify emotions: happy, sad, angry, fear, disgust, shame, and guilt. InaMoodMeter framework takes the unstructured status of a Facebook user.
Autor:
Setiawan, Esther Irawati, Juwiantho, Hans, Santoso, Joan, Sumpeno, Surya, Kimiya Fujisawa, Purnomo, Mauridhi Hery
Publikováno v:
International Journal of Intelligent Engineering & Systems; 2021, Vol. 14 Issue 2, p521-535, 15p
Publikováno v:
International Journal of Intelligent Engineering & Systems; 2021, Vol. 14 Issue 2, p410-420, 11p
Autor:
Setiawan, Esther Irawati, Ferry, Ferry, Santoso, Joan, Sumpeno, Surya, Kimiya Fujisawa, Purnomo, Mauridhi Hery
Publikováno v:
International Journal of Intelligent Engineering & Systems; 2020, Vol. 13 Issue 5, p392-407, 16p
Publikováno v:
Journal of the Visualization Society of Japan. 27:69-70
We propose an approach for categorizing data by assessing the degree of relevance among them manually. We employ a visual interface that allows moving the data around in the display screen, with which a person can arrange the positions of data so tha
Conference
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