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Bayesian data analysis in the phonetic sciences: A tutorial introduction ...
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Recognition of the Mental Workloads of Pilots in the Cockpit Using EEG Signals
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2298 (2022)
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Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification
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In: Sensors; Volume 22; Issue 5; Pages: 1899 (2022)
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eHealth Engagement on Facebook during COVID-19: Simplistic Computational Data Analysis
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 8; Pages: 4615 (2022)
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Knowledge Discovery from Large Amounts of Social Media Data
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1209 (2022)
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Data-Driven Analysis of European Portuguese Nasal Vowel Dynamics in Bilabial Contexts
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4601 (2022)
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A Novel Method of Generating Geospatial Intelligence from Social Media Posts of Political Leaders
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In: Information; Volume 13; Issue 3; Pages: 120 (2022)
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Abstract:
Social media platforms such as Twitter have been used by political leaders, heads of states, political parties, and their supporters to strategically influence public opinions. Leaders can post about a location, a state, a country, or even a region in their social media accounts, and the posts can immediately be viewed and reacted to by millions of their followers. The effect of social media posts by political leaders could be automatically measured by extracting, analyzing, and producing real-time geospatial intelligence for social scientists and researchers. This paper proposed a novel approach in automatically processing real-time social media messages of political leaders with artificial intelligence (AI)-based language detection, translation, sentiment analysis, and named entity recognition (NER). This method automatically generates geospatial and location intelligence on both ESRI ArcGIS Maps and Microsoft Bing Maps. The proposed system was deployed from 1 January 2020 to 6 February 2022 to analyze 1.5 million tweets. During this 25-month period, 95K locations were successfully identified and mapped using data of 271,885 Twitter handles. With an overall 90% precision, recall, and F1score, along with 97% accuracy, the proposed system reports the most accurate system to produce geospatial intelligence directly from live Twitter feeds of political leaders with AI.
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Keyword:
analyzing tweets of political leaders; big data processing of social media; geospatial intelligence; named entity recognition on political tweets; sentiment analysis on political tweets
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URL: https://doi.org/10.3390/info13030120
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Illusion of Truth: Analysing and Classifying COVID-19 Fake News in Brazilian Portuguese Language
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In: Big Data and Cognitive Computing; Volume 6; Issue 2; Pages: 36 (2022)
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Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
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Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
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Translate Wisely! An Evaluation of Close and Adaptive Translation Procedures in an Experiment Involving Questionnaire Translation
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In: International journal of sociology ; 51 ; 2 ; 135-162 (2022)
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What Constitutes a Local Public Sphere? Building a Monitoring Framework for Comparative Analysis
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In: Media and Communication ; 9 ; 3 ; 85-96 ; Spaces, Places, and Geographies of Public Spheres (2022)
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Generating Samples of Diasporic Minority Populations: A Chilean Example
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In: Targeting International Audiences: Current and Future Approaches to International Broadcasting Research ; 3 ; CIBAR Proceedings ; 138-149 ; Conference of International Broadcasters' Audience Research Services (CIBAR) ; XX (2022)
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The Optimism-Pessimism Short Scale-2 (SOP2): a comprehensive validation of the English-language adaptation
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In: Measurement Instruments for the Social Sciences ; 4 ; 1-14 (2022)
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Multicultural classroom discourse dataset on teachers' and students' dialogic empathy.
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El 14F a Instagram : una proposta d'articulació de tècniques de raspat web i anàlisi de xarxes
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Exploring Optimal Response Labels for Constructing an Interval Type 5-Point Likert Scale
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In: Boise State University Theses and Dissertations (2021)
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Writing At the Horizon: How Producing Imagined Narratives Affects Mood
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In: Senior Projects Fall 2021 (2021)
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