Topic sentiment analysis based on deep neural network using document embedding technique

Azam Seilsepour, Reza Ravanmehr, Ramin Nassiri

Open source

DOI: 10.1007/s11227-023-05423-9
Published: 2023-06-05
Container: The Journal of Supercomputing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11227-023-05423-9,
  title = {Topic sentiment analysis based on deep neural network using document embedding technique},
  author = {Azam Seilsepour and Reza Ravanmehr and Ramin Nassiri},
  year = {2023},
  journal = {The Journal of Supercomputing},
  doi = {10.1007/s11227-023-05423-9},
  url = {https://doi.org/10.1007/s11227-023-05423-9}
}

RIS

TY  - JOUR
TI  - Topic sentiment analysis based on deep neural network using document embedding technique
AU  - Azam Seilsepour
AU  - Reza Ravanmehr
AU  - Ramin Nassiri
PY  - 2023
JO  - The Journal of Supercomputing
DO  - 10.1007/s11227-023-05423-9
UR  - https://doi.org/10.1007/s11227-023-05423-9
ER  -

APA

Seilsepour, A., Ravanmehr, R., & Nassiri, R. (2023). Topic sentiment analysis based on deep neural network using document embedding technique. The Journal of Supercomputing. https://doi.org/10.1007/s11227-023-05423-9

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crossref · retrieved 2026-09-25T17:48:16.814Z