Deep Convolutional Neural Network

Sentiment analysis of short texts such as single sentences and Twitter messages is challenging because of the limited contextual information that they normally contain. Effectively solving this task requires strategies …...

We construct multi-modal concept repre- sentations by concatenating a skip-gram linguistic representation vector with a vi- sual concept representation vector com- puted using the feature extraction layers of a deep …...

In this paper we describe a Deep Convo- lutional Neural Network (DNN) approach to perform two sentiment detection tasks: message polarity classification and con- textual polarity disambiguation. We apply the …...

AbstractThis paper proposes a low-complexity word-level deep convolutional neural network (CNN) architecture for text categorization that can efficiently represent long-range associations in text. In the literature, several deep and complex …...