Surveys are a powerful tool for gathering feedback from customers, employees, students, parents, and other stakeholders. However, traditional surveys can be limited by the number of options that are available for respondents. Free text questions allow respondents to provide more detailed feedback, but they can be difficult to analyze.
Natural language processing (NLP) is a field of artificial intelligence that deals with the interaction between computers and human language. NLP can be used to analyze free text questions and extract meaningful insights.
Auto categorization is a process of automatically assigning labels to data. This can be used to organize free text responses into categories, making it easier to analyze the data.
Benefits of Survey Analytics with Free Text Questions Using NLP with Auto Categorization
More detailed feedback: Free text questions allow respondents to provide more detailed feedback than traditional surveys. This can help you to better understand the needs and wants of your customers, employees, and other stakeholders.
More insights: AIM@Survey Analytics’ NLP can be used to extract meaningful insights from free text responses. This can help you to make better decisions about your products, services, marketing campaigns, policies, teaching, students and parents.
Easier analysis: Auto categorization can help you to organize free text responses into categories. This makes it easier to analyze the data and identify trends.
To get started with survey analytics with free text questions using AIM@SurveyAnalytics’ NLP with auto categorization, you will need to:
Create a survey that includes free text questions using our online survey tool or any third party tool.
Collect responses to your survey and Import into our AIM@SurveyAnalytics.
Use AIM@SurveyAnalytics to analyze the free text responses.
Use auto categorization to organize the free text responses into categories.
Analyze the data and use our dashboard to identify trends, compliments and complaints so that you can produce your survey report within a day instead of weeks.