


Understanding and mitigating bias in AI automated systems
“The AI community has been focusing on developing fixes for harmful bias and discrimination, through so-called ‘debiasing algorithms’ that either try to fix data for known or expected biases, or constrain the outcomes of a given predictive model t

Digital libraries for 3D human face
This resource provides links to representative repositories of 3D faces. In the last few years, some 3D face datasets have been acquired and made publicly available. Typically, these datasets have been designed targeting a specific application.



e-Symposium 2023: A methodology for Forecasting Election results from Tweets
Social networks as the virtual equivalent of the ancient agora have become a preeminent space of political discourse. They can nurture new political trends and reveal existing ones.



e-Symposium 2023: Political barometer: public opinion mining using tweets
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.



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.



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.