… significantly well in identifying disaster-related informative social media contents. …
Identifying informative messages in disaster events using convolutional neural networks. In …

… approach called dual convolutional neural networks (DCNN) is proposed to classify the rumor
events … , a dual distributed convolutional neural network is proposed to classify the rumor …

… acquired from various social networking platforms such as … the engagement of users in social
media activities. The significant … ReLu were used to regularise neural networks in this study, …

… , stacking of Convolutional Neural Networks with traditional feature … the stacked convolutional
neural network for identifying the … the resource tweets from social media during the disaster. …

… detection techniques applying deep learning (eg neural networks and multitask learning)
which has … Therefore, we will first classify the methods according to the information used in the …

… are convolutional neural networks (CNNs), recurrent neural … Prediction of events using
structures of social networks is a … applications of social network analysis in identifying anomalies. …

… events, we evaluate the use of deep convolutional neural … the use of deep learning approaches
for image classification, … -related images collected from social media platforms (ie, data …

… Likewise, node classification is mainly used to predict the … neural networks above-mentioned
for the downstream social … in the social network keep changing as the network evolves. …

… relevant information of the social media tweet or fake news [10]. … train Deep Neural Nets for
the rumor detection task. Graph … Next, we test the classification indices and we aim to find an …

… on e-commerce websites, social media reviews of brands, products, … or event from massive
texts to improve the efficiency of … input of deep neural structure, three cyclic neural networks, …