MARC

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035 |a 3244089549 
045 2 |b d20250601  |b d20250630 
084 |a 142231  |2 nlm 
100 1 |a Gupta, Apurv 
245 1 |a Sentiment Analysis for Defence Ecosystem and Armed Forces 
260 |b Academic Conferences International Limited  |c Jun 2025 
513 |a Conference Proceedings 
520 3 |a Today's battlefields extend far beyond physical terrain into the digital realm, where military operations are won or lost through the power of perception. This research dives deep into how Sentiment Analysis (SA) has become a game-changing intelligence asset for modern defence operations. When Russia invaded Ukraine in February 2022, an extraordinary sentiment shift among Ukrainians was observed in the public opinion. Analysis of public discourse on social media revealed a substantial transformation throughout the war with initial support for negotiations gradually giving way to increased resolve for continued resistance. This fundamentally altered the geopolitical understanding of Russia Ukraine war and brought about a significant pivot in military planning and diplomatic approaches. On 28 February 2025, three years later, an interaction between the President of United States, Donald Trump and Ukrainian President, Volodymyr Zelensky spiralled into a heated confrontation and a very public spat. One of the many fall outs of this incident was the significant spike in President Zelensky's approval ratings (69%) in Ukraine. This dramatic reversal, having deeply altered modern political outlook and military planning, has compelled strategists to rethink the brass tacks. The strategic impact of SA on conduct of military operations was further cemented during the Israel-Hamas conflict, where Israeli forces analysed over 400,000 Reddit conversations to identify emotional flashpoints and counter misinformation before it gained traction. The relevance of SA can be established by the statements of an anonymous Israeli intelligence officer: "The temperature of online conversations now matters as much as satellite imagery in modern warfare." As the operational landscape becomes increasingly asymmetrical the application of sentiment analysis in contemporary geopolitical theatres emerges as a substantial force multiplier, allowing defence strategies to shorten the OODA (Observe, Orient, Decide, Act) loop significantly. From Afghanistan to the South China Sea, military commanders increasingly rely on sentiment data to navigate complex operational environments. Integrating SA in the overall military decision making process will enable the armed forces to conduct proactive information dominance, neutralise adversarial narrative warfare and enhance strategic situational awareness. By dynamically recalibrating mission critical communication strategies, SA will transform from a passive intelligence tool to an active psychological operations (PsyOps) force multiplier. These capabilities allow military commanders to model potential adversarial decision trees, simulate cognitive reaction scenarios and develop multidimensional contingency frameworks that proactively neutralise emerging operational risks before they materialise in kinetic domains. This research unveils the strategic significance of SA as a paradigm shifting intelligence capability that redefines the modern battlespaces, demonstrating how armed forces that incorporate this will gain decisive advantages in both, battlefield operations and the equally crucial battle for public support. Defence Ecosystems and Armed Forces that master this emerging intelligence frontier can and will secure decisive advantages both across kinetic and informational domains. 
610 4 |a Hamas 
651 4 |a Russia 
651 4 |a Israel 
651 4 |a Ukraine 
651 4 |a United States--US 
653 |a Public opinion 
653 |a Deep learning 
653 |a Geopolitics 
653 |a Verbal communication 
653 |a Satellite imagery 
653 |a Narratives 
653 |a Social networks 
653 |a Battlefields 
653 |a Defense 
653 |a Contingency 
653 |a Armed forces 
653 |a Decision trees 
653 |a Information warfare 
653 |a Israel Hamas War-2023 
653 |a Machine learning 
653 |a Warfare 
653 |a Research methodology 
653 |a Military operations 
653 |a Sentiment analysis 
653 |a Multipliers 
653 |a Decision making 
653 |a International relations 
653 |a Classification 
653 |a Situational awareness 
653 |a Intelligence 
653 |a False information 
653 |a Algorithms 
653 |a Military intelligence 
653 |a Imagery 
653 |a Presidential approval 
653 |a Mass media effects 
653 |a Resistance 
653 |a Discourse strategies 
653 |a Communication strategies 
653 |a Intelligence gathering 
653 |a War 
653 |a Commanders 
653 |a Presidents 
653 |a Discourse analysis 
653 |a Computer mediated communication 
653 |a Ecosystems 
653 |a Social media 
653 |a Dominance 
653 |a Trees 
653 |a Mass media 
653 |a Military planning 
653 |a Military strategy 
653 |a Transformation 
653 |a Misinformation 
653 |a Conflict 
653 |a Conversation 
700 1 |a Kumar, Suthikshn Channarayapatna 
700 1 |a Ojjela, Odelu 
773 0 |t European Conference on Cyber Warfare and Security  |g (Jun 2025), p. 160-169 
786 0 |d ProQuest  |t Political Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3244089549/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3244089549/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3244089549/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch