ArAutoSenti: automatic annotation and new tendencies for sentiment classification of Arabic messages-Reference-Cited by-同舟云学术

ArAutoSenti: automatic annotation and new tendencies for sentiment classification of Arabic messages

Published:2020-08-31 Issue:1 Volume:10 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Guellil Imane^ORCID,Azouaou Faical,Chiclana Francisco

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s13278-020-00688-x.pdf

Reference130 articles.

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3. Abdulla N, Mohammed S, Al-Ayyoub M, Al-Kabi M et al (2014b) Automatic lexicon construction for arabic sentiment analysis. In: 2014 international conference on future internet of things and cloud (FiCloud) IEEE. pp 547–552

4. Abdul-Mageed M, Diab M, Kübler S (2014) Samar: subjectivity and sentiment analysis for arabic social media. Comput Speech Lang 28(1):20–37

5. Abdul-Mageed M, Diab M (2012a) Toward building a large-scale arabic sentiment lexicon. In: Proceedings of the 6th international global WordNet conference, pp 18–22

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