Big Data Analytics (second term 2024/25)
IMPORTANT INFO
This course will be conducted online using Teams
Course aims and objectives
In the 4-days course, students will learn how to employ some widely discussed methods advanced in the literature to analyze a corpus of texts and to extract from them useful information for texting their own theories.
First day
14 March 2024 - Morning session
Theory:
Lab class:
14 March 2024 - Afternoon session
Theory:
Lab class:
Second day
15 March 2024 - Morning session
Theory:
Lab class:
15 March 2024 - Afternoon session
Theory:
Lab class:
Third day
21 March 2024 - Morning session
Theory:
Lab class:
21 March 2024 - Afternoon session
Theory:
Lab class:
Fourth day
22 March 2024 - Morning session
Theory:
Lab class:
22 March 2024 - Afternoon session
Theory:
Lab class:
This course will be conducted online using Teams
Course aims and objectives
In the 4-days course, students will learn how to employ some widely discussed methods advanced in the literature to analyze a corpus of texts and to extract from them useful information for texting their own theories.
- Packages to install in R for the first week
- Packages to install in R for the second week
First day
14 March 2024 - Morning session
Theory:
Lab class:
14 March 2024 - Afternoon session
Theory:
Lab class:
Second day
15 March 2024 - Morning session
Theory:
Lab class:
15 March 2024 - Afternoon session
Theory:
Lab class:
Third day
21 March 2024 - Morning session
Theory:
Lab class:
21 March 2024 - Afternoon session
Theory:
Lab class:
Fourth day
22 March 2024 - Morning session
Theory:
Lab class:
22 March 2024 - Afternoon session
Theory:
Lab class: