An overview of sentiment analysis with dialectical processing

Nelci, J; Salloum, S; Shaalan, K

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.

Citation

Nelci, J., Salloum, S., & Shaalan, K. (2022). An overview of sentiment analysis with dialectical processing. Lecture notes in networks and systems (Online), 1, 3-12. https://doi.org/10.1007/978-3-030-82616-1_1

• Journal Article Type: Conference Paper
• Conference Name: International Conference on Emerging Technologies and Intelligent Systems (ICETIS)
• Conference Location: Al Buraimi, Oman
• End Date: Jun 26, 2021
• Online Publication Date: Aug 8, 2021
• Publication Date: Jan 1, 2022
• Deposit Date: Nov 30, 2021
• Journal: ICETIS 2021: Proceedings of International Conference on Emerging Technologies and Intelligent Systems
• Print ISSN: 2367-3370
• Electronic ISSN: 2367-3389
• Volume: 1
• Pages: 3-12
• Series Title: Lecture Notes in Networks and Systems
• Series Number: 299
• Book Title: Proceedings of International Conference on Emerging Technologies and Intelligent Systems
• ISBN: 9783030826154-(paperback);-9783030826161-(ebook)
• DOI: https://doi.org/10.1007/978-3-030-82616-1_1
• Publisher URL: https://doi.org/10.1007/978-3-030-82616-1_1
• Related Public URLs: https://doi.org/10.1007/978-3-030-82616-1
• Additional Information: Event Type : Conference