A SYSTEM AND METHOD FOR PREDICTIVE ANALYTICS OF ARTICLES

    公开(公告)号:WO2021060967A1

    公开(公告)日:2021-04-01

    申请号:PCT/MY2020/050056

    申请日:2020-07-23

    Applicant: MIMOS BERHAD

    Abstract: The present invention relates to a system and method for predictive analytics of articles. The system (100) of the present invention comprising at least one Entity of Interest Query Module (102); at least one Corpus Generator Module (104); at least one Crawler Module (106); at least one Articles Analysis Engine (108); at least one Prediction Engine (110); at least one Trend Analysis Engine (112); at least one Suggestion Generation Module (114); and at least one Actual Outcome Module (116). The at least one Prediction Engine (110) for performing predictive analysis of articles for next course of action further comprises (400) at least one Sentiment Correlation Engine (402) for analysing sentiment of statement in articles and weighing the sentiments according to influence of entities through closeness of corpus relationship; and at least one Prediction Correlation Engine (404) for performing prediction by using parameters obtained from at least historical trend, global trend, relevant statements and updated documents in articles. The present invention provides a system and method for a user to extract multiple levels of sentiment from an article, extract the trend of related happenings, and provide a prediction of the next course of action due to an event.

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