The Academic Perspective Procedia publishes Academic Platform symposiums papers as three volumes in a year. DOI number is given to all of our papers.
Publisher : Academic Perspective

Journal DOI : 10.33793/acperpro
Journal eISSN : 2667-5862

Year :2019, Volume 2, Issue 3, Pages: 786-797
22.11.2019
Analysis of Parkinson’s Disease using Deep Learning and Word Embedding Models
Feyza Cevik, Zeynep Hilal Kilimci,
88
22
Keywords: Parkinson’s disease, sentiment analysis, deep learning, long short-term memory networks, word embedding models.
Cite
  • BIBTEX
    @article{acperproISITES2019ID86, author={Cevik, Feyza and Kilimci, Zeynep Hilal}, title={Analysis of Parkinson’s Disease using Deep Learning and Word Embedding Models}, journal={Academic Perspective Procedia}, eissn={2667-5862}, volume={2}, year=2019, pages={786-797}}
  • APA
    Cevik, F. , Kilimci, Z.. (2019). Analysis of Parkinson’s Disease using Deep Learning and Word Embedding Models. Academic Perspective Procedia, 2 (3), 786-797. DOI: 10.33793/acperpro.02.03.86
  • ENDNOTE
    %0 Academic Perspective Procedia (ACPERPRO) Analysis of Parkinson’s Disease using Deep Learning and Word Embedding Models% A Feyza Cevik, Zeynep Hilal Kilimci% T Analysis of Parkinson’s Disease using Deep Learning and Word Embedding Models% D 22.11.2019% J Academic Perspective Procedia (ACPERPRO)% P 786-797% V 2% N 3% R doi: 10.33793/acperpro.02.03.86% U 10.33793/acperpro.02.03.86
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