Over the last decade the analysis of text has progressed at an incredibly fast paced. Gone are the days when frequency counts of open enders codes was the only way to summarize textual data.
Word trees
A word tree is a visual search tool for unstructured text, such as an open ended question, a comment, interview transcripts or any other text source. It lets you pick a word or phrase and shows you all the different contexts in which it appears. The contexts are arranged in a tree-like branching structure to reveal recurrent themes and phrases. Also very useful to understand the mental relationship that specific brands have, for example when asking for brand awareness, how close is brand A to brand B.
Word clouds
A “Word Cloud Generator” enables you to see how frequently words appear in a given text, or see the relationship between a column of words and a column of numbers. You can tweak your word “clouds” with different fonts, layouts, and color schemes. Very useful to gain quick insight into the main themes without having to code all questionnaires.
Phrase nets
A phrase net diagrams the relationships between different words used in a text. It uses a simple form of pattern matching to provide multiple views of the concepts contained in open ended question, a comment, interview transcripts or any other text source. Can also be used to map the spatial position of brands.
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