Independent semantic feature extraction algorithm based on short text
An independent semantic feature extraction algorithm was proposed,aiming at reducing the sparseness of short text and enhancing its capability of semantic expression.The algorithm first makes use of latent semantic indexing to re-duce the dimension and wipe off noise,and then it introduces independe...
Saved in:
Main Authors: | HU Jia-ni, GUO Jun, DENG Wei-hong, XU Wei-ran |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2007-01-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/74658025/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews
by: Husam M. Alawadh, et al.
Published: (2023-01-01) -
LOW FREQUENCY FAULT FEATURE EXTRACTION FOR GEARBOX BASED ON WAVELET TRANSFORM AND CONSTRAINED INDEPENDENT COMPONENT ANALYSIS
by: LENG JunFa, et al.
Published: (2018-01-01) -
Two-dimensional semantic morphological feature extraction and atlas construction of maize ear leaves
by: Hongli Song, et al.
Published: (2025-02-01) -
Domain component interface identifier matching based on semantic
by: ZHANG Zheng, et al.
Published: (2007-01-01) -
Syntax and semantic analysis in mathematical problem posing viewed from field dependent and field independent cognitive styles
by: Amirul Mukminin, et al.
Published: (2023-06-01)