ForeSee® Text Analytics is designed for those with Consumer Insight interests and enables them to analyze unstructured text, extract insights, and derive actionable business intelligence.
Text Analytics are generated from Open Ends to identify the most commonly used nouns or topics among respondents. This allows a thorough analysis of what respondents are communicating without having to read each response.
Text Analytics uses a variety of displays to show data on positive, neutral, and negative sentiment in respondent comments. This allows you to identify both strengths and weaknesses of your offerings with direct communication from respondents.
The data presented in Text Analytics can be filtered in a variety of ways including date range and sentiment.
Text Analytics is a subscription service. If you do not have access to Text Analytics and would like to, contact your ForeSee Account Manager for pricing and contract information.
A taxonomy is a collection of high level themes and topics. Text Analytics offers pre-built taxonomies for retail, financial services, and government industries, in addition to a general taxonomy. Once the open end data has been processed, it is categorized according to the selected taxonomy with the results displayed in the Topics dashboard. The basic hierarchy structure of the taxonomy is High-Level Themes > Mid-Level Themes > Topics, e.g., Rewards or Coupons > Usage > Redeem Points. This allows an analysis of how many comments pertain to Rewards or Coupons. You can click on the Topic name to view how many comments pertain to Usage, or any other mid level theme associated with Rewards or Coupons. You can drill down even further by clicking the Topic name again to see the number of comments concerning the redeeming of points. The following table is based on the Retail Taxonomy:
High-Level Theme | Comments | Mid-Level Theme | Comments | Topic | Comments |
---|---|---|---|---|---|
1540 | Rewards and Coupons | 98 | Add Redeemable Products | 98 | |
Earn | 485 | Points/Coupons | 302 | ||
Registration | 10 | ||||
Requesting More | 173 | ||||
Other | 17 | Lost Points | 8 | ||
Redeemable Products Out Of Stock | 9 | ||||
Usage | 940 | Printing Coupons | 86 | ||
Processing Codes | 414 | ||||
Donate Points | 17 | ||||
Redeem Points | 423 |
The following table contains a summary of currently available taxonomies:
Taxonomy | High-Level Themes | Mid-Level Themes |
Topics |
---|---|---|---|
Retail |
17 | 40 | 89 |
Government | 13 | 30 | 224 |
Financial Services | 13 | 28 | 121 |
General Other | 18 | 55 | 163 |