Since the formulation of states, political authorities and political parties have sought to gauge public opinion. In recent years, opinion polls have been able to gratify this need rather efficiently. However, they are expensive to run, and their results may be biased primarily due to improper population sampling. As social networks are used on political… Continue reading e-Symposium 2023: Political barometer: public opinion mining using tweets
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e-Symposium 2023: Tweet sentiment analysis
Sentiment analysis in texts, also known as opinion mining, is a significant Natural Language Processing (NLP) task, with many applications in automated social media monitoring, customer feedback processing, e-mail scanning, etc. Sentiments like polarity, aggression, and bias can be recognised in tweets. Typically, such methods combine word embedding approaches and NN sentiment recognition layers. This… Continue reading e-Symposium 2023: Tweet sentiment analysis
e-Symposium 2023: Natural Language processing for political text analysis
Natural Language Processing (NLP) is a subfield of artificial intelligence and computational linguistics with the goal of “understanding” human language. Although its roots can be traced back to the 1950’s, the combination of increased computational power, novel deep learning algorithms and the availability of big corpora has brought about a revolution in the field. Large… Continue reading e-Symposium 2023: Natural Language processing for political text analysis
e-Symposium 2023: Analysing arguments from political debates: obtained results and open challenges
Argumentation in political context has been studied since antiquity, and it still raises a continuous inquiry given the challenging topic. As underlined by Aristotle, rhetorical argumentation is closely associated with ethics and politics, and, whilst in principle contextindependent, “argument analysis is particularly pertinent to forms of argumentation in public contexts’’. These argumentation studies applied to… Continue reading e-Symposium 2023: Analysing arguments from political debates: obtained results and open challenges
e-Symposium 2023: Media portrayals of COVID-19 in British newspapers: A comparative sentiment analysis
This study addresses the lack of a systematic analysis of British COVID-19 discourse during the pandemic, which has sparked intense public debate globally. Linguists have been documenting and analyzing COVID-19 discourse, but a comprehensive analysis of the specific lexical items and discourse patterns in British discourse has been missing.
e-Symposium 2023: Computational argumentation for computational politics
Communication is a central part of politics. It connects people, conveys needs and opinions, moves and persuades, challenges and justifies. Argumentation theories have proven to be powerful tools for understanding political communication and explaining the dynamics of opinions in politics. In recent years, computational argumentation, a branch of artificial intelligence crossing borders with many other… Continue reading e-Symposium 2023: Computational argumentation for computational politics