التفاصيل البيبلوغرافية
العنوان: |
D6.2 - Visualization widget to make social data meaningful |
المؤلفون: |
Chandan Kumar, Jun Sun, Nico Daheim, Steffen Staab, Dimitrios Ververidis, Elisavet Chatzilari |
بيانات النشر: |
Zenodo |
سنة النشر: |
2019 |
المجموعة: |
Zenodo |
مصطلحات موضوعية: |
Data Visualization, Information Filtering, Sentiment Analysis, Trend Detection, Clustering, Topic Modeling, Temporal analysis, Geospatial Analysis, Social Media |
الوصف: |
D6.2 extends the data analytics model described in D6.1, with the visualization widgets and interfaces to interact with social data. The aim is to assist end-users in making sense of data for trend detection and historical analysis, by means of different query methods and interactive visualizations such as tag clouds, geographic mapping, temporal characteristics, and sentiment classifications. For the development of the social data visualization we follow CUTLER‘s representation interface and integrated framework with Kibana dashboard. Using the framework, we describe the visualization widgets for tweet, news comments, and event data. We use sample of crawled social data for the CUTLER pilot cities to elaborate the visualizations. The presented widgets will be used in WP6 further development, to support policy-makers for relevant social data analysis. |
نوع الوثيقة: |
report |
اللغة: |
unknown |
Relation: |
https://zenodo.org/communities/cutler-h2020; https://zenodo.org/communities/eu; https://doi.org/10.5281/zenodo.3386040; https://doi.org/10.5281/zenodo.3386041; oai:zenodo.org:3386041 |
DOI: |
10.5281/zenodo.3386041 |
الاتاحة: |
https://doi.org/10.5281/zenodo.3386041 |
Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
رقم الانضمام: |
edsbas.C1B889A9 |
قاعدة البيانات: |
BASE |