Browsing College of Engineering and Informatics by Subject "Deep Learning"
Now showing items 1-4 of 4
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A comparison of automatic labelling approaches for sentiment analysis
(SciTePress, 2022-07-11)Labelling a large quantity of social media data for the task of supervised machine learning is not only time-consuming but also difficult and expensive. On the other hand, the accuracy of supervised machine learning models ... -
Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – example methodologies and use cases
(XPERI Inc., 2018-05-23)Deep neural networks (DNNs) are typically trained on specific datasets, optimized with particular discriminating capabilities. Often several different DNN topologies are developed solving closely related aspects of a ... -
Meme sentiment analysis enhanced with multimodal spatial encoding and facial embedding
(University of Galway, 2022-12-08)Internet memes are characterised by the interspersing of text amongst visual elements. State-of-the-art multimodal meme classifiers do not account for the relative positions of these elements across the two modalities, ... -
A novel machine learning based method for deepfake video detection in social media
(Institute of Electrical and Electronics Engineers (IEEE), 2021-05-12)With the advent of deepfake videos, video forgery has become a serious threat. Videos in social media are the most common and serious targets. There are some existing works for detecting deepfake videos but very few attempts ...