Faculty Instructor:
Andreadis Ioannis
Andreadis Ioannis
ECTS:
4
Code:
ΚΕ0Ε61
Cycle / Level:
Undergraduate
Compulsory / Optional:
Optional
Teaching Period:
Spring
Course Content:
Twitter Application Programming Interface (API) for Political Communication – Data mining – Tidyverse – Tidy texts – Data Cleaning – Sentiment Analysis – Topic modeling
Learning Outcomes:
Utilize Twitter Application Programming Interface (API) services to collect political communication data
Process the collected data – both structured and unstructured - to derive insights about the sources and people who generated that data and for sentiments expressed in them