Mozdeh

Big Data Text Analysis

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Mozdeh Downloading and Installation Instructions

Mozdeh only works on Windows and is easier to use with a larger screen than a basic laptop provides. It does not seem to work on Crossover or any other software for MacLinux or Android. Please let me know if you can get it working on these.

  1. ***Right click to download Mozdeh*** (28 April 2023, Windows only, use at your own risk). Please download it to a location on your computer where you have permission to save files. The software was developed at the University of Wolverhampton and we have not added any viruses or any kind of malware. You may need to bypass warning messages on your computer to get it to run. In Microsoft Edge, click the three dots button to the right of the file name (top right hand corner of Microsoft Edge), then click the "Keep" option (see below). Then click Show More and "Keep Anyway" (see below). After a pause, Mozdeh will be in your Downloads folder.
  2. After downloading, double click Mozdeh and answer the question about where you want to save the data collected. If you get an error, please try again. If you get a security error, try downloading Mozdeh to a USB stick or different computer, or requesting your antivirus software to allow it to run. On secure networks, you may need to get a network administrator to give Mozdeh permission to run.
  3. The home page has links to general instructions.

See the examples of time series patterns in graphs, the Mozdeh User Guide, and the theoretical overiew and introduction. There are also advanced instructions for computer scientists and a Frequently Asked Questions list.

Updates list:

8/9 October 2011: Minor data collection interface changes & option to set max tweets per query in pilot mode. Fixed delay in stopping Mozdeh during data collection searches.

8 May 2022: Converted to new Twitter API. All users now need either an academic bearer token or a Twitter developer bearer token to download tweets.

Made by the Statistical Cybermetrics and Research Evaluation Group at the University of Wolverhampton during the CREEN and CyberEmotions EU projects.