Final submission of Data Mining assignment (report, presentation and source codes) Presentation video: https://youtu.be/YaKGVaOObSE
a) Notes on 'CrawlData.py'
- Make sure to download webdriver (Chrome driver or Mozilla gecko driver), then update the path to webdriver in the python codes prior to running them.
- Disable cookies.
- Download the 'potentialstockdetails.csv', which will be used for the Twitter and News crawl.
- All data crawled is saved in csv format, which are then used in Analysis.py
b) Notes on 'Analysis.py'
- Run all codes in 'CrawlData.py' to get the required datasets (in CSV) to be used in the analysis
- Download 'multiTimeline.csv', in order to run the 'Part:6' of the codes.
c) Notes on SAS implementation
- SAS data is provided - finalstock.sas7bdat
- SAS project is provided - project.emp