TY  -  
T1  - Using Metadata to Analyze Trajectories of Finnish Newspapers 
SN  -  /  
UR  - URN:NBN:fi:hulib-202006243439; http://hdl.handle.net/10138/316951 
T3  -  
A1  - Hussain, Zafar 
A2  -  
PB  - Helsingin yliopisto 
Y1  - 2020 
LA  - eng 
AB  - The National Library of Finland has digitized newspapers starting from late eighteenth century.
Digitized data of Finnish newspapers is a heterogeneous data set, which contains the content and
metadata of historical newspapers. This research work is focused to study this rich materiality data
to find the data-driven categorization of newspapers. Since the data is not known beforehand, the
objective is to understand the development of newspapers and use statistical methods to analyze
the flu... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - Heterogeneous Data; Metadata Analyses; Exploratory Analyses; Newspaper Data; Finnish Newspapers; none; ei opintosuuntaa; no specialization; ingen studieinriktning; Datatieteen maisteriohjelma; Master's Programme in Data Science; Magisterprogrammet i data science 
N1  -   
PP  -  
ER  -