Bibliometric Survey for Stock Market Prediction using Sentimental Analysis and LSTM

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 inculcati...

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Bibliographic Details
Published in:Library philosophy and practice 2021-03, p.0_1-21
Main Authors: Bagane, Pooja, Mehta, Nimit, Kakde, Parth, Bramhbhatt, Nisarg, Sahni, Ishansh, Kotrappa, Sirbi
Format: Article
Language:English
Subjects:
Academic libraries
Artificial intelligence
Bibliometrics
Citations
Computer science
Funding
Keywords
Library and information science
Neural networks
Securities markets
Sentiment analysis
Social networks
Trends
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Summary: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.
ISSN:1522-0222