Persian Text Sentiment Analysis Based on BERT and Neural Networks-Reference-Cited by-同舟云学术

Persian Text Sentiment Analysis Based on BERT and Neural Networks

Published:2023-07-15 Issue:4 Volume:47 Page:1623-1634
ISSN:2228-6179
Container-title:Iranian Journal of Science and Technology, Transactions of Electrical Engineering
language:en
Short-container-title:Iran J Sci Technol Trans Electr Eng

Author:

Zardak Siroos Rahmani,Rasekh Amir Hossein,Bashkari Mohammad Sadegh

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Vision and Pattern Recognition,Energy Engineering and Power Technology,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s40998-023-00626-5.pdf

Reference26 articles.

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2. Ahmadi F, Moradi H (2015) A hybrid method for Persian named entity recognition. In: 2015 7th conference on information and knowledge technology (IKT). 2015. IEEE.

3. Aleahmad A, Hakimian P, Mahdikhani F, Oroumchian F (2007) N-gram and local context analysis for Persian text retrieval. In 2007 9th international symposium on signal processing and its applications, pp 1–4. IEEE

4. Basiri ME, Kabiri A (2017) Sentence-level sentiment analysis in Persian. In 2017 3rd international conference on pattern recognition and image analysis (IPRIA). 2017. IEEE

5. Dashtipour K, et al. (2018) Exploiting deep learning for Persian sentiment analysis. In: International conference on brain inspired cognitive systems. 2018. Springer

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