Abstract
AI-GlobalEvents is a decision support dashboard for policy planners to conduct strategic threat assessments based on global news and events. It uses AI services and algorithms to automatically aggregate global news from online news portals, websites and social media for analyzing the events and identifying critical events requiring imminent attention. The software uses AI algorithms like Entity Detection, Sentiment Analysis, Anomaly detection and Regression to produce explanations in natural language. It is capable of presenting the result in a wide range of platforms including mobile phones (Android or iOS), tablets or desktop environments. AI-GlobalEvents is available at https://github.com/DrSufi/GlobalEvent.
Highlights
Artificial Intelligence (AI)-GlobalEvents is a decision support dashboard for policy planners to conduct strategic threat assessments based on global news and events
Current code version Permanent link to code/repository used for this code version Permanent link to reproducible capsule Legal code license Code versioning system used Software code languages, tools and services used Compilation requirements, operating environments and dependencies If available, link to developer documentation/manual Support email for questions v2 https://github.com/SoftwareImpacts/SIMPAC- 2021- 171
The features are extracted from the news descriptions, AI based algorithm executes anomaly detection [2], linear regression [3] and logistic regression [4,5]
Summary
AI-GlobalEvents is a smart dashboard that automatically analyses thousands of global news to identify and explain breaking news using Artificial Intelligence (AI) based algorithms and services [1]. Microsoft Power Automate is used for realizing business process ‘‘Extract Features from Global Events’’ along with Microsoft Azure Cognitive Services Both Sentiment Analysis and Entity Detection (shown in Fig. 1 as feature extraction mechanism) are part of Microsoft Azure Cognitive Services. Logistic regression was used to predict the categorical dependent variable with the help of independent variables using Eq (10)
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Free)
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