Processing and Semantic Analysis System of Social Networks for Smart Cities

PDIS - Midterm Presentation

Transcript

1. Processing and Semantic Analysis System of Social Networks for Smart Cities Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016 João Filipe Pereira Supervision: Rosaldo Rossetti Pedro Saleiro
2. Agenda 1. Contextualization 2. Problem 3. Proposed Solution 4. Expected Contributions Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016
3. Contextualization Smart Cities Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016 Creation of services Improvement of the life quality Innovation and solution of problems
4. Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016 Contextualization  Population growth affects the life quality of smart cities' citizens o This effect is more evident in the public transport sector Population Growth Life Quality Transportation Sector
5. Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016 Problem How to help the transportation companies to know what the citizens think about their services? Transportation Companies Social Networks Citizens’ Opinion
6. Problem Exploring and extracting value from a social network data. Complex problem … Why ? Combining techniques of: • Natural language processing; • Semantic analysis; • Sentiment analysis. Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016
7. Proposed Solution Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016 Creation of a framework. Three diferente modules. Modules should do: 1. Extract data from the social network and filter the noise with semantic analysis and named entity linking; 2. Classification of the content with sentiment analysis 3. Show final results with analytics. Social Extractor and Semantic Analyser Sentiment Analyser Analytics
8. Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016 Expected Contributions 1. Scientific 2. Technological 3. Aplicational
9. Mestrado Integrado de Engenharia Informática e Computação Faculdade de Engenharia da Universidade do Porto november 2016 Q&A Thank you!