Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
Abstract
Data analytics is the present and the future of problem-solving in computing.
With the increasing trends in Data and Processing power, Machine learning solutions
are evolving to cater to the needs and challenges in both scientific and business worlds.
In this work, the current solutions have been discussed, and the results of the practical
experiments are shown with a glimpse into the future direction. The task of automatic
identification of fake news is addressed. Fake news datasets are obtained through
crowdsourcing and web covering celebrities. Due to the inherent relationship among
publishers, news and social engagements during the news dissemination process on
social media, the SVM classifier model has been implemented, the Multilayer
Perceptron model for distributed environment is proposed and a performance
comparison of two models is established.
Keywords:
Apche spark, Feature extraction, Multilayer perceptron, Support vector machine, Tokenization.
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Authors:Bentham Science Books