A lengthy text presents a challenge to even the most diligent reader. Our software will assist you in analysing the material, so that you can notice the important bits, know what to put in your report and what else you should learn through further questions.
This tool enables detailed and automated analysis. It will point out the most important themes and find how frequently they were mentioned. But it's not all up to the machine - you can check, for instance, if (and if so, how often) a given item has been referred to in different words (e.g. "cigs" or "smokes"). In such case, you can combine the frequency of several words to get a more accurate result. Using this feature, you will be able to determine which verbs, nouns or other parts of speech appear in the analysed material.
Result: Tag cloud of words.
this tool enables tagging the content you find most relevant. It can be used by several people simultaneously, so you can work on the material with your whole team. Each marked passage can be assigned to categories you create for a given research. You can always check which text contained a given outtake. After you finish processing the material, you can export all selected passages to MS Excel.
Result: Code system. (with categories and subcategories and subsubcategories and go on…). No graph representation.
it complements the marker tool, adding the possibility of finding links between various categories or subcategories. It uses a simple graphical representation to show if and how one category ... You are free to define any links you wish to look for.
In their statements (278 words in total) people referred more often to family (54 words, which constitutes 19% of all content) than to work (25 words, 9%). 19 words could be assigned to both categories.
Result: Graphical representation.
this tool finds pairs of words or expressions that are often used together. Collocations are words that a group of people commonly uses in combination with certain other words, or words that, when used together, sound "natural" to all native speakers of a given language. You can specify which two or more words you consider a collocation. This is a quick and effective way of learning about insights.
Result: Tag cloud of collocations.
This feature automatically calculates several indicators that allow you to infer conclusions as to the linguistic proficiency of the interviewed group or individuals. The result comes in a neat graphical form and can be included in your research report.
Result: A neat graphical form.
Useful if you have to work on a longer text. It enables you to quickly check if each participant voiced his/her opinion. You can also verify if a given portion of a text is in Polish or English.
Result: Support your overlook for the analysis process. No representation.