Methodology for Automated Extraction of Socialization Values from Online Media Texts
Name
Teet Kalmus
Abstract
The aim of the present thesis was to create a methodology with a software solution to find texts containing socialization values among online media texts and to analyse the filtered texts.
The software solution includes web crawling and downloading the texts from the forum Koolilaps of Perekool, creating a dictionary of socialization values, filtering texts using the dictionary of socialization values and analysing the filtered texts with sentiment analysis.
The software package EstNLTK was used to create the software solution. Further plans include using the results of the thesis for writing academic articles and using the methodology and the software solution for analysing other media texts.
The software solution includes web crawling and downloading the texts from the forum Koolilaps of Perekool, creating a dictionary of socialization values, filtering texts using the dictionary of socialization values and analysing the filtered texts with sentiment analysis.
The software package EstNLTK was used to create the software solution. Further plans include using the results of the thesis for writing academic articles and using the methodology and the software solution for analysing other media texts.
Graduation Thesis language
Estonian
Graduation Thesis type
Master - Conversion Master in IT
Supervisor(s)
Dage Särg, MA ja prof. Veronika Kalmus
Defence year
2019