Citation
Nikfarjam, Azadeh (2010) News Mining And Tecnical Analysis For Stock Market Prediction. Masters thesis, University of Multimedia. Full text not available from this repository.
Official URL: http://vlib.mmu.edu.my/diglib/login/dlusr/login.ph...
Abstract
In this research we proposed and evaluated a new method in stock market price trend. We trained a classifier which is able to classify any incoming news into three final categories based on their short term impact on market trend. In order to analyze the news content, we proposed a new method in text classification which uses semantic relations between news article words.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | H Social Sciences > HG Finance > HG1710 Electronic Funds Transfers |
| Divisions: | Faculty of Engineering and Technology (FET) |
| Depositing User: | Ms Suzilawati Abu Samah |
| Date Deposited: | 18 Jan 2012 07:15 |
| Last Modified: | 18 Jan 2012 07:15 |
| URII: | http://shdl.mmu.edu.my/id/eprint/3350 |
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