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
Creators
- 1. UNIKO
- 2. CERTH
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
Files
(1.4 MB)
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