Maru/Matchbox

Text Analytics

Bringing verbatims to life

Utilize text analytics to find meaning in your open-end text data without the wait or cost of standard coding

1) Coding via defined rules

Get a greater depth of insight with complete coverage rather than sample.

2) Sentiment

Analyze the strength of feeling to prioritize developments.

3) Discovery tools

Efficiently get a feel for the stories within large volumes of text.

4) Thematic analysis

Easily spot emerging themes to find meaning.

  • Themes: What are the common topics consumers are talking about?
  • Facets: What words are consumers using to describe¬†the key themes?
  • Entities: What are the specific topics/locations/products our consumer are talking about?
Dip into open ended questions quickly to get a view of what your respondents are talking about.