This study aims to identify the most popular topics and words in conversations in cyberspace with the issue of E-Money.In addition, the research aims to find out how netizens feel about E-Money with the help of Machine Learning.This study uses a quantitative method with a sentiment analysis approach using the Machine Learning program, namely Orange

Permanent access to energy is an essential pillar of economic development.However, there is a growing evidence that contemporary energy systems TRAVEL are not able to provide energy to the entire population on a sustainable basis and at affordable prices.In the face of these challenges, renewable energy can play an important role, especially in rur

We analyze how network effects affect competition in the nascent copyright market.We do so by examining early dynamics of dresses exchange rates among different cryptocurrencies.While Bitcoin essentially dominates this market, our data suggest no evidence of a winner-take-all effect early in the market.Indeed, for a relatively long period, a few ot

There is growing interest in the role that morphological knowledge plays in literacy acquisition, but there is TRAVEL no research directly comparing the efficacy of different forms of morphological instruction.Here we compare two methods of teaching English morphology in the context of a memory experiment when words were organized by affix during s

The relevance of the investigation is predetermined by a general tendency of modern linguistic studies towards the proble- ms of semantic syntax and by the attempt to elaborate a semantic theory of a sentence with regard to the central place of syntax in grammar, asymmetry of a language sign, deep categories of sen- sentence.Aim of investigation.Th