Affan Yasin, Rubia Fatima, Ahmad Nauman Ghazi, Ziqi Wei
Python data odyssey: Mining user feedback from google play store
Data in brief
field education development educational big data become important strategic choice promote construction digital campus educational reform educational big data become new driving force field education cannot ignored based theoretical basis outputdriven hypothesis neural network combining media spanning contemporary art crossmedia association effect study changes status quo english teaching traditional methods grammartranslation method deductive method constructs new crossmedia university english teaching model based existing feature learning model twoway attention combined existing techniques generative adversarial networks semantic hashing semantic association different media data deeply mined feature learning integrated adversarial learning hash learning build unified semantic space different media data paper focus structure characteristics convolutional neural networks study deep learning theory discuss three classical convolutional neural network models alexnet vgg googlenet propose convolutional neural network model applicable crossmedia teaching college english classroom carry experimental validation results show proposed neural network model based outputdriven hypothesis following research added abstract address key problem semantic gap difficult cross crossmedia semantic learning crossmedia supervised adversarial hashing model based twoway attentional features proposed based existing twoway attentionbased feature learning model combine existing techniques generative adversarial networks semantic hashing deeply explore semantic association different media data integrate feature learning adversarial learning hashing build unified semantic space different media data results show proposed neural network model crossmedia teaching college english classrooms based outputdriven hypothesis promote improvement students english literacy skills also certain promotion effect overall performance improvement