ESTABLISHMENT OF FRAMEWORK FOR PREDICTION OF  POLITICAL THREATS USING HYBRID TECHNIQUES

Mr.B. SUMAN, INDHU CHENCHETI, ABHINAYA GOLLA, LAVANYA  MADDILETI

ESTABLISHMENT OF FRAMEWORK FOR PREDICTION OF POLITICAL THREATS USING HYBRID TECHNIQUES

Authors

Mr.B. SUMAN, INDHU CHENCHETI, ABHINAYA GOLLA, LAVANYA MADDILETI

Keywords:

Sentiment classification, Neural Language Model, Machine Learning, Natural Language Processing, Textual Data, Opinion Mining, Topic Augmentation

Abstract

The internet offers a powerful medium for expressing opinions, emotions and ideas, using onlineplatforms supported by Smartphone usage and high internet penetration. Monitoring online sentiments or opinionsare important for detecting any excessive emotions triggered by citizens who can lead to unintended consequences and threats to national security. Mining opinions according to the national security domain is a relevant

References

J. R. Clapper, ‘‘Statement for the record: Worldwide threat assessment of the us intelligence community,’’ Office Director Nat. Intell., Congressional Testimonies 2015, USA, 2015. [Online]. Available: https://www.dni.gov/files/SFRDirNCTCSHSGACHearing8Oct.pdf

N. A. M. Razali et al., ‘‘Opinion mining for national security: Techniques, domain applications, challenges and research opportunities,’’ J. Big Data, vol. 8, no. 1, 2021, doi: 10.1186/s40537-021-00536

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Published

2024-02-15

How to Cite

Mr.B. SUMAN, INDHU CHENCHETI, ABHINAYA GOLLA, LAVANYA MADDILETI. (2024). ESTABLISHMENT OF FRAMEWORK FOR PREDICTION OF POLITICAL THREATS USING HYBRID TECHNIQUES. Journal of Computational Analysis and Applications (JoCAAA), 32(2), 279–287. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2702