Text analytics is the gateway for getting in touch with your customers’ thoughts and feelings in a more intimate manner. With this type of qualitative analysis, you’re not only assessing small-scale issues here and there, but also the entire online customer journey as a whole.

How, you ask? Well, text analytics can reveal a plethora of information:

Implementing text analytics gives you the power to hear your customer’s voice in all its forms.

To find this in the Mopinion software please follow these step:

Go to 'Reporting' at the top of the page and click on 'Text analytics'. Now you will see a screen with different words. These are the most frequently used by customers by giving their feedback. This is a very handy and quick overview to see how positive and negative customers are in general. The words are shown in different colours. Green (positive), Orange (neutral), Red (negative).

The text analytics techniques:

Frequency of words (word count)

This is text analytics in its simplest form, whereby the topics are counted and brought to the top based on the frequency with which they are mentioned.

Word grouping (or word pairing)

Often times a group of words can provide you with more insight than just one word alone. For example, the words “costs”, “expensive” and “monthly” are grouped together. With this information, it’s pretty safe to conclude that there are many customers that think the monthly costs for one of your products or services are too expensive. But to take a closer look you can always open the individual comments.

Sentiment analysis

At this point, you know which words occur the most often and with which other words they are paired, but is the feedback positive, negative or neutral? More often than not your customers are going to provide you with feedback on topics they feel strongly about. Text analytics can gauge the severity of the feedback based on positive, negative and neutral word usage as well as the sentiment associated with commonly used words.