Multi-class document classification using support vector machine (SVM) based on improved naïve bayes vectorization technique
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

Multi-class document classification using support vector machine (SVM) based on improved naïve bayes vectorization technique

Sueno, H.T.
international journal of advanced trends in computer science and engineering 2020 Vol. 9 pp. 3937-3944
197
sueno2020multiclassinternational

Access

DOI:
10.30534/ijatcse/2020/216932020

Citation

ID: 113700
Ref Key: sueno2020multiclassinternational
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
113700
Unique Identifier:
10.30534/ijatcse/2020/216932020
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
4/5
Blockchain Upload Locked

Complete all 5 checklist items to tokenize your article

Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store