Automatic analysis of journalistic and political discourse in large bodies of text with text mining and Natural Language Processing (NLP) techniques in order to study neoliberalism during the Covid-19 pandemic

Postgraduate Thesis uoadl:2947076 4 Read counter

Unit:
Κατεύθυνση Ψηφιακά Μέσα Επικοινωνίας και Περιβάλλοντα Αλληλεπίδρασης
Βιβλιοθήκη Πολιτικής Επιστήμης και Δημόσιας Διοίκησης - Επικοινωνίας και Μέσων Μαζικής Ενημέρωσης - Τουρκικών Σπουδών και Σύγχρονων Ασιατικών Σπουδών
Deposit date:
2021-06-09
Year:
2021
Author:
Patrikalaki Eleonora-Vasiliki
Supervisors info:
Κωνσταντίνος Μουρλάς, Αναπληρωτής Καθηγητής, Τμήμα Επικοινωνίας και ΜΜΕ, ΕΚΠΑ
Original Title:
Αυτόματη ανάλυση δημοσιογραφικού και πολιτικού λόγου σε μεγάλα σώματα κειμένων με τεχνικές εξόρυξης πληροφορίας (text mining) και ανάλυσης φυσικής γλώσσας (NLP) με στόχο τη μελέτη του νεοφιλελευθερισμού κατά την περίοδο της πανδημίας Covid-19
Languages:
Greek
Translated title:
Automatic analysis of journalistic and political discourse in large bodies of text with text mining and Natural Language Processing (NLP) techniques in order to study neoliberalism during the Covid-19 pandemic
Summary:
The main object of the present work is the analysis of journalistic and political discourse in large bodies of texts which are related to the concept of neoliberalism and the pandemic. The relationship of neoliberal policies to public health and the crisis caused by the spread of the pandemic is examined through text mining and natural language processing (NLP) techniques, as well as other techniques for drawing conclusions. This work is using data from websites of well-known neoliberal think-tanks as source.
Main subject category:
Social, Political and Economic sciences
Keywords:
Neoliberalism, pandemic, Covid-19, discourse analysis
Index:
No
Number of index pages:
0
Contains images:
Yes
Number of references:
69
Number of pages:
73
Διπλωματική εργασία - Ε.Πατρικαλάκη.pdf (2 MB) Open in new window