Deep Learning Methods in Sentiment Analysis - Intelligent Systems And Internet Applications Lab

Position: Leader
Funding: approximately 49.000,00 €
Duration: 3/2014 – 12/2015
Funding organisation: Subcontract from MSENSIS S.A.
Programme: PAVET 2013, Co-funded by the European Regional Development Fund (ERDF) and the Greek Secretariat of Research and Technology (GSRT)
Project URL: http://www.msensis.com, http://www.gsrt.gr
Contact person: Konstantinos Diamantaras

The project goals are: (a) the analysis and implementation of state-of-the-art Deep Learning methods and Machine Learning methods, in general, for the sentiment analysis/opinion mining from unstructured (free) text. The target languages are Greek and English; (b) the optimum parametrization of the models, the vectorial representation of the words and the general pre-processing of the documents to be analyzed.