Big Data Text Analysis

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Crash Course in using Mozdeh

  1. Gather Tweets for your project EITHER by searching the simple way (recommended) OR by searching the hard way (not recommended unless you need complex queries), OR by downloading the Tweets of a set of users.
  2. [Advanced] Spam filtering and removal. When you are analysing the data you may notice some spam - large numbers of similar tweets. Follow the spam filtering instructions (recommended) to get rid of it. If you used Webometric Analyst to gather the data then you might use the Webometric Analyst spam filtering instructions (not recommended) as well or instead.
  3. Analysing the results - please try the basic tweet analysis instructions first and then try the web text thick description analyses instructions (content analysis, time series and word frequency analysis). Sentiment analysis and gender analysis are now included as standard in Mozdeh. Twitter timelines can be downloaded in Webometric Analyst.
  4. Creating networks of tweeting - special 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.

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