An improved term weighting scheme for text classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An improved term weighting scheme for text classification

Published:2020-05-10 Issue:9 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Tang Zhong¹^ORCID,Li Wenqiang¹^ORCID,Li Yan¹

Affiliation:

1. School of Mechanical EngineeringSichuan University Sichuan Province’ s Key Laboratory of Innovation Methodology and Creative Design Chengdu China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5604

Reference62 articles.

1. A novel probabilistic feature selection method for text classification

2. Turning from TF-IDF to TF-IGM for term weighting in text classification

3. A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification

4. Latent‐lSVM classification of very high‐dimensional and large‐scale multi‐class datasets

5. Effectively classifying short texts by structured sparse representation with dictionary filtering

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A generic multi-level framework for building term-weighting schemes in text classification;The Computer Journal;2024-07-25

2. Prediction Model of Strong Electromagnetic Effect Phenomenon Based on Complement Naive Bayes;Lecture Notes in Electrical Engineering;2023-12-31

3. A Lightweight Keyword Extraction Algorithm Using a Term Weighting Scheme with Word Features;Proceedings of the 2023 15th International Conference on Machine Learning and Computing;2023-02-17

4. Automatic Diagnosis of COVID-19 Patients from Unstructured Data Based on a Novel Weighting Scheme;Computers, Materials & Continua;2023

5. A novel term weighting scheme for imbalanced text classification;Informatica;2022-06-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3