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2021-01-05 Data Update 2021-01-07
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News Sentiment

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News Dependency Wheel

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    Insightful text analytics

    Each day millions of news are generated globally Thanks to digital media, we can learn about any global news instantly An exponential increase in the number of media and their reporting will lead to polarisation in the news industry To read between the lines and filter fake news from authentic ones, a rigorous analysis is required Today AI is used to understand the difference between fake and real news The opinion mining tool uses the Natural Learning Process to analyze the news articles text to determine its emotional state Sentiment analysis uncovers positive, negative and neutral views of the news This applies to anything from geopolitical to the celebratory stock market

    WorlddataAI brings a self-servicing cutting edge News Sentiment Analysis platform for the users to deliver the latest Sentiment Analysis Dataset On the NewsAI, users can search for the keyword appearing on different global news platforms to get the sentiment analysis or news sentiment data with the dependency wheel and sentiment score

    The links between two or more views have been captured and analyzed via AI automation The dependency wheels are widely used charts to show how the weighted link to other points This data flow reveals the relationships between different views in a striking way

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    • FINANCIAL MARKET
    • AGRICULTURE
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    • MACROECONOMICS, FINANCE
    • POLITICS
    • POPULATION, SOCIAL CONDITIONS
    • CLIMATE CHANGE, WEATHER
    • EDUCATION
    • ENERGY, OIL & GAS
    • ENVIRONMENT, NATURAL RESOURCES
    • SCIENCE & TECHNOLOGY
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