2 research outputs found

    Bibliometric Survey for Stock Market Prediction using Sentimental Analysis and LSTM

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    Creating an overview of the flow fundamentals of the global market trading and sublimation of equities into a superimposed system of economic agendas. Furthermore this leads to dynamic overlapping with the current technological advancements to create a platform for information exchange and inculcations. This created a new field of access points where we could enhance and analyse the data available and create an interface to predict the rise and fall trends involved with the stock market. These help create a sense of control and format over the public personification over the economic impacts and use social media and involve discrete approaches towards a smoother economic establishment. Here we review the work in the field of the aforementioned workspace and evaluate the established agendas
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