An Improved K-Nearest Neighbors Approach Using Modified Term Weighting And Similarity Coefficient For Text Classification
Pengelasan teks automatik adalah penting kerana peningkatan bilangan dokumen digital dan oleh itu ia perlu diurus. Kaedah pemodelan statistik terkini tidak memberi maklumat berguna yang mencukupi tentang topik untuk setiap ciri dan kategori. Tambahan pula, penyarian sifat menggunakan frekuensi kata-...
Saved in:
Main Author: | Kadhim, Ammar Ismael |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://eprints.usm.my/31479/1/AMMAR_ISMAEL_KADHIM_24.pdf http://eprints.usm.my/31479/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection
by: Alsmadi, Issa Mohammad Ibrahim
Published: (2018) -
Similarity-Based Weights For
Cross-Domain Sentiment Classification Of Product Reviews
by: Gupta, Aditi
Published: (2023) -
Enhanced Techniques For Detection And Classification Of Neighbor Discovery Protocol Anomalies
by: Firas (M.H.) S., Najjar
Published: (2016) -
Multi-Label Text Classification for Indonesian Language IT Journal with K-Nearest Neighbors (KNN)
by: Redho Aidil, Iqrom, et al.
Published: (2023) -
Enhancing security on IPv6 neighbor discovery using trust-ND.
by: Chong , Yung Wey
Published: (2017)