AI Synergies


Zoe Gerolemou

Master student

Target-Based Sentiment Analysis as a Sequence-Tagging Task

This research attempts to provide a complete solution to the sentiment analysis task (extraction of opinion holder, polarity of the underlying sentiment and target) by treating it as a sequence tagging problem.The best performing models are LSTM-based. We also address class imbalance and the need for meaningful data augmentation techniques to increase the size of the training set and make the use of LSTMs possible.


Gerolemou has recently graduated with an MSc. in Artificial Intelligence from Maastricht University. Additionally, she holds a BSc. in Computing Science from the University of Glasgow. She works as a Data Scientist/Software Developer at ZyLAB, Amsterdam.


Syrah room
Research presentations AI
Day 3 - Nov 8th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

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