Nlp Software, Coding Responses, Verbatim Responses, SPSS Text Analysis For Surveys, Code Survey, Text Responses

Easy to Use and Control

SPSS Text Analysis for Surveys is simple to use and works in conjunction with several SPSS survey research and analytic products.

To analyze responses to open-ended questions with SPSS Text Analysis for Surveys, you:

Import data from SPSS Statistics, any Dimensions product, Microsoft® Excel®, or any ODBC-compliant source
Extract key concepts in text responses automatically by using included and customizable libraries
Create and populate categories with the help of automated statistics- or linguistics-based techniques and manual methods
Export results as categories or dichotomies for analysis and graphing in SPSS, mrTables, or Microsoft® Excel®

Depending upon the complexity of your survey responses, completing the categorization process may take several iterations. You stay in touch with your data throughout the process. Once you’re satisfied with your categories and have categorized all your responses, you can save the categories and their definitions for reuse in follow-up surveys or with surveys on similar topics.

An overview of the text analysis process

First, you import your survey’s text responses.

The Data pane (at right) shows the text responses for the question.
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Automated extraction automatically takes place at the touch of a button. After concepts are extracted, they appear in the Extracted Terms pane (at lower left). The software highlights text that has been extracted and color-codes qualifiers, so you see key concepts immediately.

Extraction results are shown in the pane at lower left, with related text highlighted and color-coded in the Data pane.
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You can use one of several automated techniques to create categories. Alternatively, you create categories by dragging items from the Extracted Terms Pane or by dragging an entire response from the Data Pane.

To better understand and refine categories, you can view categories graphically. For example, you can profile categories by overlaying reference variables onto a bar chart.

Overlay reference variables (such as gender) onto a bar chart to profile categories. This example shows that nearly 69 percent of the respondents in the accessories category are female. When you click on the red or “Female” portion of the bar, all female responses in the accessories category are displayed in the Data pane.
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To quickly see which categories share responses, you can use a Web graph.

A Web graph provides you with a graphic view of the co-occurrence of responses.
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To conduct further analysis, you export results as categories or as dichotomies to SPSS, mrTables, or Excel.

Once you’ve analyzed results using your preferred software, you can report and graph results to make it easier for your audience to understand them.

Graphs, such as this pie chart created in SPSS for Windows, makes it easier to communicate your survey findings.
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SPSS Text Analysis for Surveys™

Easy to Use and Control

An overview of the text analysis process