- Tytuł:
- Semantic web techniques for clinical topic detection in health care
- Autorzy:
-
Raman, R.
Sahayaraj, Kishore Anthuvan
Soni, Mukesh
Nayak, Nihar Ranjan
Govindarajan, Ramya
Singh, Nikhil Kumar - Powiązania:
- https://bibliotekanauki.pl/articles/38698068.pdf
- Data publikacji:
- 2024
- Wydawca:
- Instytut Podstawowych Problemów Techniki PAN
- Tematy:
-
clinical text
frequent word set
feature selection
clustering
topic detection
time sequence
semantics
tekst kliniczny
częsty zestaw słów
wybór funkcji
grupowanie
wykrywanie tematu
sekwencja czasu
semantyka - Opis:
- The scope of this paper is that it investigates and proposes a new clustering method thattakes into account the timing characteristics of frequently used feature words and thesemantic similarity of microblog short texts as well as designing and implementing mi-croblog topic detection and detection based on clustering results. The aim of the proposedresearch is to provide a new cluster overlap reduction method based on the divisions ofsemantic memberships to solve limited semantic expression and diversify short microblogcontents. First, by defining the time-series frequent word set of the microblog text, a fea-ture word selection method for hot topics is given; then, for the existence of initial clusters,according to the time-series recurring feature word set, to obtain the initial clustering ofthe microblog.
- Źródło:
-
Computer Assisted Methods in Engineering and Science; 2024, 31, 2; 139-155
2299-3649 - Pojawia się w:
- Computer Assisted Methods in Engineering and Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł