At these conferences you can meet representatives from SDAS and / or Provalis Research and learn how WordStat can help academics, consultants, professionals, researchers and students extract more from their unstructured data.
A tips and guidance site dedicated to providing tips on WordStat and other data analytics packages. It provides "how-to" steps for simple WordStat tasks through to more complex graphs and techniques in WordStat.
Con is CEO of Strategic Precision, a statistical consulting and research company that specialises in Data, Research and Strategy, fusing all three together to offer clients a total overall data and research solution.
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Gwin founded DatAnalytics to provide ethical and reliable data analytics and advice. He has over 20 years experience in the Australian Federal Government and the private sector.
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David is a director with SDAS and an experienced data analyst. He has been performing analyses in WordStat for more than four years and authored an analysis of Donald Trump's tweets using WordStat.
See ProfileGuidance from the developers on using WordStat.
Do you need help with WordStat? Do you need access to users around the world using WordStat. Share your thoughts and questions on the LinkedIn Provalis Research Forum.
In the WordStat LinkedIn Forum users discuss QDA Miner, WordStat and text analysis. Join the forum to help others and learn from their experience. Communicate with Provalis Research or get support from other users.
Regardless of which side of politics you are on, the country in which you live, or your socio-economic status, you will most likely have heard of Donald Trump. This analysis is an assessment of Donald Trump’s tweets, aimed at understanding the changes in his themes as he moved from being a billionaire on The Apprentice to the President of the United States of America. This analysis was performed using tweets archived on TrumpTwitterArchive.com, Stata 14 and WordStat for Stata for Mac produced by Provalis Research. This analysis was performed out of general interest and was not funded by or supported by any organisation.
A paper from the Cornell Hotel and Restaurant Administration Quarterly, Pullman, M., McGuire, K. and Cleveland, C. 2005
The advent of social media, online surveys, feedback forms and other electronic records means that we can now quickly collect massive amounts of customer experience data. The challenge for businesses is that the responses, comments and other feedback are usually in the form of unstructured text (emails, texts, tweets, Facebook comments, reviews and so on). A 2013 study by Krikorian estimated that worldwide there are more than 500 million tweets per day, while according to Facebook 1.18 billion people were active on Facebook every day in September 2016. That is a significant number of people either reading or writing unstructured text on a single platform every day. The ‘firehose’ is gushing out larger volumes of unstructured text per year.
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The Text Analytics Blog
Here you will find articles and commentaries on the use of WordStat, text analytics and mixed methods models.
SDAS on social media
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