6 research outputs found

    Current Law and Social Problems edited by R. St. J. MacDonald

    Get PDF

    Comparison of Risk Perception Between Delinquents and Non-Delinquents

    Get PDF

    The use of machine learning for correlation analysis of sentiment and weather data

    No full text
    The development of the Internet of Things (IoT) drives us to confront, manage and analyse massive and complicated data generated from various sensors. Also, social media have rapidly become very popular and can be considered as important source of data. Twitter on average generates about 6,000 tweets every second, which total to over 500 million tweets per day. Facebook has over 2 billion monthly active users. The individual posts may be trivial, however, the accumulated big data can provide diverse valuable information, which can be also correlated with IoT and enable human sentiment identification of the environment changes. This work proposes a machine learning model for correlation analysis and prediction of weather conditions and social media posts. In experimental evaluation we demonstrate that the Big Data analysis approach and machine learning techniques can be used to analyse and predict sentiment of different weather conditions.</p
    corecore