Opinion mining for national security: techniques, domain applications, challenges and research opportunities

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

Abstract Background Opinion mining, or sentiment analysis, is a field in Natural Language Processing (NLP). It extracts people’s thoughts, including assessments, attitudes, and emotions toward individuals, topics, and events. The task is technically challenging but incredibly useful. With the explos...

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Bibliographic Details
Main Authors: Noor Afiza Mat Razali, Nur Atiqah Malizan, Nor Asiakin Hasbullah, Muslihah Wook, Norulzahrah Mohd Zainuddin, Khairul Khalil Ishak, Suzaimah Ramli, Sazali Sukardi
Format: Article
Language:English
Published: SpringerOpen 2021-12-01
Series:Journal of Big Data
Subjects:
Opinion mining
Sentiment analysis
National security
Machine learning
Lexicon-based approach
Kansei approach
Online Access:https://doi.org/10.1186/s40537-021-00536-5

Internet

https://doi.org/10.1186/s40537-021-00536-5

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