Leveraging ParsBERT for cross-domain polarity sentiment classification of Persian social media comments-Reference-Cited by-同舟云学术

Leveraging ParsBERT for cross-domain polarity sentiment classification of Persian social media comments

Published:2023-06-24 Issue:4 Volume:83 Page:10677-10694
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Panahandeh Nigjeh Mahnaz^ORCID,Ghanbari Shirin

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16067-5.pdf

Reference36 articles.

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2. Amiri F, Scerri S and Khodashahi MH (2015) Lexicon-based Sentiment Analysis for Persian Text. Int. Conf. Recent Adv. Nat. Lang. Process. RANLP 9–16

3. Alimardani S, Abdollah Aghaie A (2015) Opinion mining in Persian language using supervised algorithms. J Inf Syst Telecommun 3:135–141

4. Asgarian E, Kahani M, Sharifi S (2018) The impact of sentiment features on the sentiment polarity classification in Persian reviews. Cogni Comput 10:117–135. https://doi.org/10.1007/s12559-017-9513-1

5. Bagheri A, Saraee M and de Jong F (2013) Sentiment classification in Persian: Introducing a mutual information-based method for feature selection. 21st Iranian Conference on Electrical Engineering (ICEE) 1–6 https://doi.org/10.1109/IranianCEE.2013.6599671

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