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Published November 6, 2019 | Version 1.0
Project deliverable Open

D6.1 - Methodologies and tools for big data analysis via text mining and geo-social characterization, aiming to opinion extraction, trend detection and predictive analysis

Description

Deliverable D6.1 describes CUTLER’s approach for the analysis of the social impact of public administration policies related to the water element in waterfront cities. It discusses the necessary methodology that would reflect the opinion of the society with regard to policy implementation in such cities. In this regard, we propose an extensive approach to detect the trends and provide historical analysis from news articles comments, Twitter feeds, and events. More specifically, the approach includes the components of information filtering, extraction and analytics. Filtering techniques are essential to remove irrelevant data before information extraction and analytics. The information extraction techniques will be used to obtain the most relevant information from news articles, event logs, and social media feeds. The analytics process will apply text mining, spatio-temporal analysis, and sentiment analysis methods to induce relevant knowledge about social behavior, trends, and opinion.

Files

CUTLER_D6.1-final_.pdf

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Additional details

Funding

CUTLER – Coastal Urban developmenT through the LEnses of Resiliency 770469
European Commission