Over the years, a variety of methods have been used in order toestimate policy positions for political parties in national parliaments. This papersets out to apply a novel computational method called Wordfish and apply it to aheavily under-researched form of political text, parliamentary speeches.Quantitative studies of this sort are even more rare the case in Sweden in whichquantitative studies on parliamentary speeches is close to non-existent. In anattempt to contribute to fill the gap in literature this study uses scaling techniqueusing word frequencies and to estimate positions of 4 Swedish political partiesalong two dimensions in political space. By observing the estimated movement bythese 4 parties over a 20-year time period one can ...
Within political science, there are numerous methodological approaches to estimating the policy posi...
Within political science, there are numerous methodological approaches to estimating the policy posi...
Text classification is a fundamental part of natural language processing. In this thesis, methods fo...
Over the years, a variety of methods have been used in order toestimate policy positions for politic...
Recent advances in computational methods for extracting party positions from political texts have pr...
This paper evaluates a recently developed method for extracting policy positions from political text...
This paper evaluates a recently developed method for extracting policy positions from political text...
This paper evaluates a recently developed method for extracting policy positions from political text...
Legislative debates are understudied in political science. Modern tools for analyzing speech content...
This work in progress aims to perform a comprehensive analysis of digital data publicly available fr...
This work in progress aims to perform a comprehensive analysis of digital data publicly available fr...
In the Swedish general elections of 2010, the party the Sweden Democrats for the first time entered ...
In the Swedish general elections of 2010, the party the Sweden Democrats for the first time entered ...
In the Swedish general elections of 2010, the party the Sweden Democrats for the first time entered ...
Assigning political actors positions in ideological space is a task of key importance to political s...
Within political science, there are numerous methodological approaches to estimating the policy posi...
Within political science, there are numerous methodological approaches to estimating the policy posi...
Text classification is a fundamental part of natural language processing. In this thesis, methods fo...
Over the years, a variety of methods have been used in order toestimate policy positions for politic...
Recent advances in computational methods for extracting party positions from political texts have pr...
This paper evaluates a recently developed method for extracting policy positions from political text...
This paper evaluates a recently developed method for extracting policy positions from political text...
This paper evaluates a recently developed method for extracting policy positions from political text...
Legislative debates are understudied in political science. Modern tools for analyzing speech content...
This work in progress aims to perform a comprehensive analysis of digital data publicly available fr...
This work in progress aims to perform a comprehensive analysis of digital data publicly available fr...
In the Swedish general elections of 2010, the party the Sweden Democrats for the first time entered ...
In the Swedish general elections of 2010, the party the Sweden Democrats for the first time entered ...
In the Swedish general elections of 2010, the party the Sweden Democrats for the first time entered ...
Assigning political actors positions in ideological space is a task of key importance to political s...
Within political science, there are numerous methodological approaches to estimating the policy posi...
Within political science, there are numerous methodological approaches to estimating the policy posi...
Text classification is a fundamental part of natural language processing. In this thesis, methods fo...