Short‐text feature expansion and classification based on nonnegative matrix factorization-Reference-Cited by-同舟云学术

Short‐text feature expansion and classification based on nonnegative matrix factorization

Published:2020-09-21 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Zhang Ling¹,Jiang Wenchao¹,Zhao Zhiming²

Affiliation:

1. School of Computers Guangdong University of Technology Guangzhou China

2. Multiscale Networked System (MNS) Group, Informatics Institute University of Amsterdam Amsterdam The Netherlands

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22290

Reference42 articles.

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2. HeapB BainM WobckeW. Word vector enrichment of low frequency words in the bag‐of‐words model for short text multi‐class classification problems. e‐print 2017arXiv170905778H

3. Short-text feature construction and selection in social media data: a survey

4. Search‐based short‐text classification;Kang W;Appl Electron Tech,2018

5. LiXH SuY MaHF. Combining statistical information and semantic similarity for short text feature extension. International Conference on Intelligent Information Processing;2016; 486:205‐210.

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