euTV is a SME project whose objectives are to connect publicly available multimedia information streams under a unifying framework.
The project deals with the creation of effective tools to organise, manage and link digital assets, in order to maximise accessibility and reduce cost issues.
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The project investigates the use of a multimodal feature learning approach, using neural network based models such as Skip-gram and Denoising Autoencoders, to address sentiment analysis of micro-blogging content, such as Twitter short messages, that are composed by a short text and, possibly, an image.
A novel architecture that incorporates neural networks is proposed and tested on several standard Twitter datasets, showing that the approach is efficient and obtains good classification results.
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