D5.1 AI Tools and Technologies V1

In this first version of the D5.1, focus is given on the sentiment analysis and opinion mining component. For this component a REST Application Programming Interface (API) has been developed by Reportbrain, to provide the sentiment and emotion from citizens’ feedback, of the text extracted from either Tweets or comments. This tool is integrated into the VPME (Virtualized Policy Management Environment) platform, as citizens’ feedback analysis is the layer to support interactions between policymakers and citizens. This technology aims to provide data-based insights using opinion mining and to convert the unstructured online information provided by the Pilots, into a great asset for the policymakers. The deliverable discusses the classification models that have been deployed for the sentiment and emotion analysis, as well as the component’s architecture, and focuses on the implementation of this analysis to Pilots’ data and sources. The sentiment analysis models specialize in polarity (positive, negative, neutral) but also in emotions (anger, joy, sadness, etc.). This NLP technology can analyse citizens’ feedback from both implicit (e.g., through the data obtained from social media) and explicit (e.g., online surveys for proposed policies, utilization of municipalities’ applications, etc.) sources, and provide those insights to the policymakers and local governments