Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis

Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis

Kim, S.
expert systems with applications 2020 Vol. 152 pp. 0-0
196
kim2020word2vecbasedexpert

Citation

ID: 105783
Ref Key: kim2020word2vecbasedexpert
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
105783
Unique Identifier:
10.1016/j.eswa.2020.113401
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
4/5
Blockchain Upload Locked

Complete all 5 checklist items to tokenize your article

Saymatik Web3.0 Wallet