A Survey on Deep Learning in Big Data and its Applications (original) (raw)

Abstract

Individuals can exchange real-time information thanks to the vast spread and reach of social networks. This active participation with the corporate data, as emails, documents, databases, business processor history, etc and content published on the Web, as age and contact details, reviews, comments, photos, images, videos, sounds, texts, famous cookies, or ecommerce transactions, exchanges on social networks, are very important. Data recovery from different sources can be a difficult task. A timely and correct assessment of an event currently under discussion is critical to the effectiveness of the used method. This information, collected in the Web can then be updated. Various ways are developed to automate this necessity, due to the extraction and analysis of correct social media content. Alleviation methods do not adequately incorporate these approaches. It may be necessary to reveal them in order to make further progress, particularly in the areas of energy efficiency and cleaner...

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