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DC FieldValueLanguage
dc.contributor.advisorLê, Thị Phương Thảo-
dc.contributor.authorNguyễn, Ngọc Hải-
dc.date.accessioned2021-10-26T07:49:59Z-
dc.date.available2021-10-26T07:49:59Z-
dc.date.issued2021-
dc.identifier17050743vi
dc.identifier.urihttp://repository.vnu.edu.vn/handle/VNU_123/136543-
dc.description.abstract(i) Summarize theoretical basis related to the application of machine learning to forecast stock price fluctuations (ii) Conduct literature review on domestic and foreign studies using text mining methods in stock price prediction (iii) Demonstrate that economic, business, and financial news on popular newspapers affect the price trend of the VN-Index.(iv) Apply text mining method to forecast price fluctuations of the Vietnamese stock market through synthesizing news and VN-Index. (v) Propose improvements of Text Mining techniques to increase accuracy in forecasting the Vietnamese stock market. (vi) Create an objective and valuable source of reference for investors in making investment decisions.vi
dc.format.extent72 p.vi
dc.language.isoen_USvi
dc.subjectFinancevi
dc.subjectBankingvi
dc.subjectStock marketvi
dc.subjectThị trường chứng khoán ; Tài chínhvi
dc.subject.ddc332.632-
dc.titleForecasting the VietNam stock market with text mining aproachesvi
dc.typeFinal Year Project (FYP)vi
dc.identifier.licNG-H-
dc.contributor.schoolĐHQGHN - Trường Đại học Kinh tếvi
Appears in Collections:UEB - Undergraduate Theses


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  • Full metadata record
    DC FieldValueLanguage
    dc.contributor.advisorLê, Thị Phương Thảo-
    dc.contributor.authorNguyễn, Ngọc Hải-
    dc.date.accessioned2021-10-26T07:49:59Z-
    dc.date.available2021-10-26T07:49:59Z-
    dc.date.issued2021-
    dc.identifier17050743vi
    dc.identifier.urihttp://repository.vnu.edu.vn/handle/VNU_123/136543-
    dc.description.abstract(i) Summarize theoretical basis related to the application of machine learning to forecast stock price fluctuations (ii) Conduct literature review on domestic and foreign studies using text mining methods in stock price prediction (iii) Demonstrate that economic, business, and financial news on popular newspapers affect the price trend of the VN-Index.(iv) Apply text mining method to forecast price fluctuations of the Vietnamese stock market through synthesizing news and VN-Index. (v) Propose improvements of Text Mining techniques to increase accuracy in forecasting the Vietnamese stock market. (vi) Create an objective and valuable source of reference for investors in making investment decisions.vi
    dc.format.extent72 p.vi
    dc.language.isoen_USvi
    dc.subjectFinancevi
    dc.subjectBankingvi
    dc.subjectStock marketvi
    dc.subjectThị trường chứng khoán ; Tài chínhvi
    dc.subject.ddc332.632-
    dc.titleForecasting the VietNam stock market with text mining aproachesvi
    dc.typeFinal Year Project (FYP)vi
    dc.identifier.licNG-H-
    dc.contributor.schoolĐHQGHN - Trường Đại học Kinh tếvi
    Appears in Collections:UEB - Undergraduate Theses


    Thumbnail
  • 17050743.pdf
    • Size : 2,66 MB

    • Format : Adobe PDF

    • View : 
    • Download :