Andrius Mudinas Research Page
Supervisors:
Research

The topic of my research is "Adaptive Sentiment Analysis"

A novel set of sentiment analysis methods that can adapt to any domain at hand, are less sensitive to crossing domain boundaries, and can be applied in both supervised and unsupervised modes.
Publications

Andrius Mudinas, Dell Zhang, and Mark Levene, (2012) Combining Lexicon and Learning Based Approaches for Concept-level Sentiment Analysis , ACM, WISDOM ’12. Beijing, China

Andrius Mudinas, Dell Zhang, and Mark Levene, (2018) Bootstrap domain-specific sentiment classifiers from unlabeled corpora , Transactions of the Association for Computational Linguistics 6

Andrius Mudinas, Dell Zhang, and Mark Levene, (2018) Market Trend Prediction using entiment Analysis: Lessons Learned and Paths Forward , ACM, WISDOM ’18. London

Personal Information

Originally from Klaipeda, Lithuania. IT professional with special interest in big data, machine learning and sentiment analysis.