Category: Blog

Interpreting Survey Results

Interpreting survey data is a multi-step process requiring significant human, technology, and financial resources. This investment pays off when teams are able to change directions, delight customers, and fix problems based on the information gained. The type of survey or question sets the direction for responses and for the resulting survey data. Understanding the options… Read more »

How to Use Sentiment Analysis to Improve Your Organization’s Satisfaction Scores

Whether it’s a rating, ranking, score, review, or number of stars/tomatoes/thumbs up, consumers have ample opportunities to report their experiences with businesses, service providers, and organizations in the form of survey responses and other user-generated content. The challenge for organizations remains processing this high volume of data, finding positive and negative sentiment, identifying opportunities for… Read more »

Verbatim Analysis Software – Easily Analyze Open-Ended Questions

Do you want to stay close to your customers?  Of course you do!  Improving the customer experience is central to any business.  More broadly, any organization needs to stay in touch with its constituents, be they customers, employees, clients, or voters. In today’s world, getting your hands on the voice of the customer is not… Read more »

Ascribe Regular Expressions

Ascribe allows the use of regular expressions in many areas, including codes in a codebook and for various search operations.  The regular expressions in Ascribe include powerful features not found in standard regular expressions.  In this article we will explain regular expressions and the extensions available in Ascribe. Regular Expressions A regular expression is a… Read more »

Using Class Rules in an Ascribe Rule Set

Class rules allow you to share code across rules, and even across Rule Sets. Using Class rules can help you organize your code and make it easier to maintain and reuse. Introduction to Classes As I wrote in Authoring Ascribe Rule Sets, you write rules using JScript, a superset of ECMA 3 JavaScript. An important… Read more »

Using Taxonomies in Ascribe Rule Sets

You can create and use taxonomies in Ascribe Rule Sets to help with common text manipulation chores, such as cleaning comments. In this article I will explain how to use a taxonomy in a Rule Set.  We will use the taxonomy to correct common misspellings of words that are important to the text analytics work… Read more »

Brand disambiguation using the Ascribe Coder API

Asking respondents to recall brand names is a common survey technique.  Often this is done by asking the respondent to pick brands from a list.  Such aided brand awareness questions can introduce bias.  We can remove this bias by asking the respondent to type the brand name without providing a list.  These unaided brand awareness… Read more »

Using Swagger documentation and Postman with the Ascribe APIs

The Ascribe APIs provide documentation both as static html pages and an interactive Swagger page.  The static documentation is more convenient for looking over the API, but the Swagger documentation provides powerful features for interaction with the API.  We will use examples from the Ascribe Coder API, but the same techniques apply to the Ascribe… Read more »

Rule Set Examples

An Ascribe Rule Set lets you programmatically alter the results of linguistic analysis.  See these posts for information on what Rule Sets do and how to author them. Introduction to Ascribe Rule Sets Authoring Ascribe Rule Sets Ascribe Rule Set Execution Workflow Modify Finding Rule Examples Rule Sets let you modify the results of linguistic… Read more »

Testing Ascribe Rule Sets

An Ascribe Rule Set lets you programmatically alter the results of linguistic analysis.  To learn more about Rule Sets, see Introduction to Ascribe Rule Sets and Authoring Ascribe Rule Sets. Your Rule Set may process thousands of findings when you use it in an Inspection. Therefore, it is very important to test your Rule Set carefully to avoid… Read more »