Text Analysis
Analyzing your survey is the vital step to get insights. Zoho Survey offers some crucial methods like TURF analysis, Sentiment analysis, and Word Cloud for analyzing long answer question formats. Reports like Trend reports, Cross-tab reports, and custom reports are also available to analyze other question formats.
Note : If you want to analyze long answer type questions in your survey, you need to select Responses, Sentiment Analysis, or Word Cloud to analyze your custom reports. You can also choose various display formats, such as charts and tables, to view and analyze the data better.
TURF analysis
TURF analysis, short for Total Unduplicated Reach and Frequency, is a statistical technique used to determine the optimal combination of products, services, or marketing messages to maximize reach. It helps businesses identify the most effective way to allocate resources and target their audience.
Note : TURF analysis is applicable only for multiple choice with many answers question type.
Use case
Let's take an example of a sample survey where you wanted to know what model of car is liked by most people. There are 5 models in total like A, B, C, D, and E. By the survey, you have found out that one among these is mostly liked. But with TURF analysis, you would look for preferences in combination. The combination can be either among every 2 or 3 models. This analysis can help eliminate unwanted choices and be more specific to purpose.
How to perform TURF analysis?
- Navigate to the Reports tab and choose the question for whom TURF analysis has to be performed.
- Click on Customize and choose TURF analysis from the analysis dropdown.
- Select the simulation count for TURF analysis. We currently support a simulation count of up to six. Simulation Level refers to the number of options that each combination must have. For example, if a question has three options, selecting two counts as the Simulation Level would give you a TURF report with two options in each combination, as in the following screenshot.
Sentiment Analysis
Understand your customers' feelings with Sentiment Analysis. Sentiment analysis is a technique used to determine the emotional tone of a text automatically. It analyzes text data to identify whether the expressed sentiment is Anger, Disappointment, Neutral, Sarcasm, Happy, or Extremely Happy.
Note: This is applicable only to the long answer question type. And analysis is applicable for sentences and not words.
Use case
While conducting a survey about customer feedback on your product, you may be bundled up with so many open-ended responses. For such cases, you can use Sentiment Analysis and categorize the responses and analyze user insights better. With this analysis, all the text responses will be analyzed automatically with our algorithm. As a result, you can see the overall value for open-ended questions.
How to perform Sentiment Analysis?
- Click on the Reports tab and go to Summary of Responses.
- Choose the long answer question where sentiment analysis has to be performed.
- Click Customize, and choose Analysis as Sentiment Analysis.
- After setting up the configuration, click SAVE.
Word Cloud
Generate Word Cloud, or a visual representation of text data where the size of each word indicates its frequency or importance. Words denoting feedback or category of such words constitute a word cloud. Ex: Expensive, High price, not affordable.
Note: This is applicable only to the long answer question type.
Use case
Imagine you've conducted a survey and collected a large amount of text-based feedback. A word cloud can help you quickly identify the most common words and phrases used by your respondents. By visualizing the most frequently used terms, you can easily identify key themes and areas for improvement.
How to perform Word Cloud analysis?
- Navigate to the Reports tab and go to Summary of Responses.
- Choose the long answer question where Word Cloud has to be performed.
- Click Customize, and choose Analysis as Word Cloud.
- After setting up the configuration, click SAVE.
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