Machine learning has seized both academia and industry's attention as deep learning (DL) is the frontrunner in data science. In order to construct computational models, DL uses multiple layers to epitomize data theories. A few of the key DL techniques, such as model transfer (MT), ...
deep learningtopic modelingBig Datarepresentation learningmachine learningTumblrThis research methods article proposes a visual data analytics framework to enhance social media research using deep learning models. Drawing on the literaturedoi:10.2139/ssrn.2830377Shin, Donghyuk...
摘要: This research methods article proposes a visual data analytics framework to enhance social media research using deep learning models. Drawing on the literature关键词: semantic content analysis social media online advertisement customer engagement deep learning topic modeling Big Data representation ...
Deep learningLong short term memory modelSentiment analysisSocial media analyticsThe availability of computing resources and generation of large scale data emanating from Artificial Intelligence, Internet of Things and social media platforms have resulted into resurgence of deep learning technology. Deep ...
Stroele, Data analysis in social networks for agribusiness: a systematic review. IEEE Access (2023) M. Yu, Q. Huang, H. Qin, C. Scheele, C. Yang, Deep learning for real-time social media text classification for situation awareness–using hurricanes sandy, harvey, and irma as case studies...
Articles in the news, social media, and financial reports are a few examples. This data stream offers a once-in-a-lifetime chance to use state-of-the-art technology like deep learning to gain useful insights and a better grasp of the financial sector. Sentiment analysis, a branch of ...
Step 1: Construct a learning network with the random initialization, set the total number of network training layers n, initialize unlabeled data as the input set of network training, and initialize training network layer i = 1. Step 2: Based on the input set, an unsupervised learning...
介绍:John Langford和Hal Daume III在ICML2015上关于Learning to Search的教学讲座幻灯片. 《100 open source Big Data architecture papers for data professionals》 介绍:读完这100篇论文 就能成大数据高手,国内翻译. 《Social Media & Text Analytics》
in-depth learning became essential for machine learning practitioners and even for many software engineers. This book provides a wide range of role for data scientists and software engineers with experience in machine learning. You will start with the basics of deep learning and quickly move on to...
To manage the rumors in social media to reduce the harm of rumors in society. Many studies used methods of deep learning to detect rumors in open networks.