With the introduction and inspired development of SPSS Text Analysis for Surveys, SPSS has succeeded where other software vendors have failed. Finally, there is a powerful, intuitive tool that reduces the time needed to analyze large amounts of qualitative data and opens the door to new methods of targeted analysis. SPSS Text Analysis for Surveys’ linguistic technologies automate the coding process, while its manual controls enable us to manage the process and the quality of the results. With the 2.0 version, we can now create conditional rules using Boolean operators. This enables us to layer our business knowledge onto the product’s extraction technology to automate pre-existing code frames with precision. The insights that SPSS Text Analysis for Surveys delivers have enhanced the quality of our quantitative analysis and the decision-making ability of our customers. SPSS is among a rare breed of software developers that really do listen and respond to customer needs.
— Karl G. Buchholz
Core Group Manager, Market Research
McKesson Provider Technologies
SPSS Text Analysis for Surveys is exactly what the university has been searching for to extract critical nuggets of information from long text survey responses. Using this new product, we were able to quickly identify concerns students had about university services. These concerns were not apparent in the quantitative survey data alone. However, when we put SPSS Text Analysis for Surveys to work analyzing the open-end text responses, we were able to uncover those concerns, and act on them. The enhanced insights that SPSS Text Analysis for Surveys provides will significantly improve the quality of our survey analysis and the decision-making ability of our organization.
— John Lemon
Senior Computing Advisor
University of Aberdeen, Scotland
SPSS Text Analysis for Surveys’ ability to distinguish between positive and negative open-end responses is the ‘Holy Grail’ of survey text analysis. Its linguistic capabilities are unbelievable. I have used four other products that attempted to automate text categorization, and none came close to SPSS Text Analysis for Surveys with regard to differentiating people who expressed appreciation for the topic from those who expressed disdain.
— Bob Muenchen
Manager
Statistical Consulting Center
The University of Tennessee Office of Information Technology
We give two or three open-ended questions in order for us to understand teachers' opinions on what was effective about the in-service training and what needs to change. By using SPSS Text Analysis for Surveys, we get a much clearer idea on what teachers find helpful in these sessions, and what they would like to see in the future.
—Curt Barnum
Evaluation Assistant
Lansing School District
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