Sentiment analysis per party leader and speech
Kyriakos Mitsotakis
Dimitris Koutsoumpas
Alexis Tsipras
Yanis Varoufakis
Nikos Androulakis
Note: The analysis refers to the sentiment detectable in the political speeches themselves and is not at all related to audience emotions.
* The speeches of Kyriakos Velopoulos are statements in press conferences he has given. Therefore, these analyses cannot be taken as directly comparable to those of other party leaders that are given in the public space.
Sentiment analysis by political party leader throughout the election campaign period
Sentiment analysis during each speech between two party leaders
Sentiment analysis by topic in the speeches of party leaders
Note: If a particular topic is not mentioned in a party leader’s speech, the corresponding space in our analysis will be left blank, and therefore, there is no sentiment analysis available for visualization.
What percentage of each speech is devoted to the presentation of the programmatic agenda of each party and what is the extent of the criticism of the opponents?
The topics each party leader addresses during their speech
By systematically identifying and categorizing the primary topics discussed by political leaders, the project is able to accurately assess their priorities, policy proposals, and overall campaign messaging.
Polarisation and populism during the pre-election period
The following linear step diagram illustrates the evolution of polarization or populism during the election period, as represented by each political leader. On the vertical axis, the percentage of each campaign speech containing elements of moderate or high polarization or populism from each political leader’s discourse is displayed. The horizontal axis presents the corresponding speeches, from the official declaration of elections in Greece to the last available election speech of each party leader.
How to read the line-chart
In the step chart, the evolution of the level of polarization or populism during each speech is depicted, with the number of paragraphs shown on the horizontal axis. Each paragraph, depending on the value of the polarization and populism indicators it has received, is placed in a category:
- no or low level (polarization or populism respectively) if it has a value from 0 to 0.5,
- medium level if it has a value from 0.51 to 0.8,
- high level if it has a value from 0.81 to 1.
How to read the radial dendrogram below
The radial dendrogram visually represents the entities (names, organizations, geographical areas, etc.) extracted from the speeches of the six political leaders under study (Named Entity Recognition, NER). At the centre of each speech, there is a node which branches into sub-nodes corresponding to the different groups of entities named in the election speeches.
To “read” this visualization, start from the central node of a speech and follow the branches to explore the named entities and their connections. The numbers in parentheses indicate the frequency of mention for each entity in the speech: respectively, the larger the entity node, the more times the term in question has been mentioned.
Who is referring to whom
We count the number of references each leader makes to his opponents
ΘΑ-meter
How many “will” has every political leader said in this campaign?
We count the number of “will” heard from each political leader per 10,000 words spoken
The campaign trails of the political leaders
Who worked on this project
Idea & Project Coordination: Thanasis Troboukis, Kelly Kiki (iMEdD)
Journalistic Research/Analysis: Nota Vafea, Katerina Voutsina, Stefania Ibrishimova, Athina Thanasi, Kelly Kiki, Chrysoula Marinou, Thanasis Troboukis, Georgios Schinas (iMEdD)
IT Support: Christos Nomikos, Nikos Sarantos (iMEdD)
Scientific Advisor on Political Theory: Antonis Galanopoulos, PhD Candidate at the School of Political Sciences, Aristotle University of Thessaloniki
Software Development/ Data Analysis: Pavlos Sermpezis, Stelios Karamanidis, Dimitrios-Panteleimon Giakatos, Ilias Dimitriadis (Datalab, School of Informatics, Aristotle University)
Datalab Director (School of Informatics, Aristotle University): Professor Athena Vakali
Translation: Anatoli Stavroulopoulou, Tina Katoufa
