All posts by Gosia

What does the co-occurrence graph tell you?– Text Analytics Tips by Gosia The co-occurrence graph in OdinText may look simple at first sight but it is in fact a very complex visualization. Based on an example we are going to show you how to read and interpret this graph. See the attached screenshots of a single […]

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What do satisfied versus dissatisfied customers talk about? – Group Comparison Example – Text Analytics Tips by Gosia In this post we are going to discuss one of the first questions most researchers tend to explore using OdinText: what do satisfied versus dissatisfied customers talk about? Link to this post!

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Why you should not code text data by hand: Benefits of automated and user-guided automated coding – Text Analytics Tips by Gosia Most researchers know very well that the coding of text data manually (using human coders who read the text and mark different codes) is very expensive both in terms of time that coders need to […]

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How to Increase the Amount of Text Data for Analysis – Text Analytics Tips by Gosia If you find yourself slightly disappointed by the quantity or quality of text comments provided by your respondents you are definitely not alone. This is a common problem especially when survey respondents are not compensated for their answers and when […]

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Peaks and Valleys or Critical Moments Analysis Text Analytics Tips by Gosia    How can you gain interesting insights just from looking at descriptive charts based on your data? Select a key metric of interest like Overall Satisfaction (scale 1-5) and using a text analytics software allowing you to plot text data as well as […]

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Get a complete picture of your data: The ‘Top-Down and Bottom-Up Approach’ At OdinText we’ve found that the best way to identify all key drivers in any analysis really, especially in customer experience management (including but not limited to KPI’s such as OSAT, Net Promoter Score, Likelihood to Return or other real behavior) is through a dual […]

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Text Analytics Tips, with your Hosts Tom & Gosia: Introductory Post Today, we’re blogging to let you know about a new series of posts starting in January 2016 called ‘Text Analytics Tips’. This will be an ongoing series and our main goal is to help marketers understand text analytics better. We realize Text Analytics is […]

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