Sentiment analysis usually refers to the analysis of human-generated content via a polarity
filter. Affective computing deals with the exact emotions conveyed through information …

Text has traditionally been used to train automated classifiers for a multitude of purposes,
such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM …

Labelling, or annotation, is the process by which we assign labels to an item with regards to
a task. In some Artificial Intelligence problems, such as Computer Vision tasks, the goal is to …

Scientific projects that require human computation often resort to crowdsourcing. Interested
individuals can contribute to a crowdsourcing task, essentially contributing towards the …

Despite some technical and conceptual criticism on the CAPTCHA and its claimed
effectiveness, such human interaction proofs (HIPs) are still in the centre of attention. With …

The extensive use of online social media has highlighted the importance of privacy in the
digital space. As more scientists analyse the data created in these platforms, privacy …

The extensive use of online social media has highlighted the importance of privacy in the
digital space. As more scientists analyse the data created in these platforms, privacy …

The paper describes the approaches to verification of sentiment frames in the
RuSentiFrames lexicon describing sentiment connotations related to specific Russian …

The extensive use of online social media has highlighted the importance of privacy in the
digital space. As more scientists analyse the data created in these platforms, privacy …