An overview of sentiment analysis with dialectical processing

Nelci, J ORCID: https://orcid.org/0000-0001-5467-0593, Salloum, S ORCID: https://orcid.org/0000-0002-6073-3981 and Shaalan, K ORCID: https://orcid.org/0000-0003-0823-8390 2022, An overview of sentiment analysis with dialectical processing , in: International Conference on Emerging Technologies and Intelligent Systems (ICETIS), 25th-26th June 2021, Al Buraimi, Oman.

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Abstract

Sentiment analysis (SA) is one of the most emerging field of study in natural language processing (NLP) domain that primarily focuses on the opinion extortion of people’s lingual and penned articulation. Considerable number of studies about sentiment analysis over Arabic language are probed to label its polarity into positive or negative since this becomes very common dialect to Arabian internet users to depict their views. The prime understanding of this systematic review over Arabic sentiment analysis gives an insight about the classic, modern and colloquial flavors of its high morphological richness. Potential documents were filtered from different data sources published from 2015 to 2020 as well relevant 10 research articles were analyzed carefully and findings were captured based on the questionnaires framed with methods used for data selection and approached algorithms. The key finding is that 89% of the analyzed sample resulted in positive outcomes. Positively research papers that originated from the Kingdom of Saudi Arabia has contributed to the above said achievement. In this aspect, this study is an initiative to demonstrate and detail the progressive advancement made in Arabic NLP based SA processing, eventually this work can suffice as an essential reference especially a clear insight about the polarity of the Arabic words used in the social media conversation to researchers of natural language processing domain.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: ICETIS 2021: Proceedings of International Conference on Emerging Technologies and Intelligent Systems
Publisher: Springer
Series Name: Lecture Notes in Networks and Systems
ISBN: 9783030826154 (paperback); 9783030826161 (ebook)
ISSN: 2367-3370
Related URLs:
Depositing User: USIR Admin
Date Deposited: 30 Nov 2021 10:06
Last Modified: 15 Feb 2022 14:47
URI: http://usir.salford.ac.uk/id/eprint/62444

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