1. WORKSHOP- BIG DATA ANALYTICS Israeli Social Protest Osher Arbib Winter 2012-2013 Tel-Aviv University 1

2. General Review In summer of 2011 began the Israeli Social Protest, which is the largest protest movement in Israel's history. One of the main factors in the development of the protest is the ease with information transition on the Internet – in a veteran format as e-mails and forums, and social networks Facebook and Twitter. 2

3. Project Background Over a period of about a year and a half were collected e-mails by the protests - some personal emails and most emails sent to distribution lists. The project goal is to build an efficient model for data analysis, and deduce information that will be useful for analyzing social science aspects of protest 3

4. Project Purposes The analysis of the given information will be on two levels – – Analyze the structured information (an analysis by subjects, timeline, traffic volume, etc.) – Understanding the un-structured information (i.e.- text content understanding) Perhaps that will be produced suitable model for analyzing information sources real – time, which helps with future events. 4

5. Data Base Structured Data Analysis of Network Unstructured Data Content Analysis 5

6. Python Libraries and Tools NumPy,SciPy, Pandas,matplotlib, Pygrametl, etc. Data Base Structured Data Analysis of Network Unstructured Data Content Analysis 6

7. Data Base Structured Data Analysis of Network Unstructured Data Content Analysis tfidf NetworkX 7

8. Data Base Structured Data Analysis of Network Unstructured Data Content Analysis Google Visualization 8

9. Limitations The content analysis is limited: – As language limitations, i.e.- even the recognition of verb conjugations and nouns in Hebrew is complicated. – Limited tools allow entry-level content analysis- identification at most expressions of the two - three words. 9