Text Analytics and Opinion Mining

Provided by: 

UNIPI, CNR

From: 

Master II Livello Big Data Analytics

Sede: 

Computer Science Department, Unversity of Pisa

Lecturers: 

Andrea ESULI

Semester: 

2

Hours: 

20

Timetable: 

TBA

Educational Goals: 

This module introduces the main methods of analysis and mining of opinions and personal evaluations for users based on Big Data generated on the web or other sources. Emphasis will be put on text mining method applied to text originated on social media. Lessons will be supported by case studies developed in the SoBigData.eu lab.
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