OdinText Predicts What Television Shows You Will Like

Tom H. C. Anderson
January 17th, 2017

How Text Analytics Rescued Me from a #ShowHole!  My wife and I recently found ourselves in the uncomfortable condition commonly known as a “show hole.” Are you familiar with this? A show hole refers to the state of loss and aimlessness one experiences after completing—often via binge-watching—the last episode in a beloved TV series without […]

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What Does the Co-Occurence Graph Tell You?

Gosia
October 23rd, 2016

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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Customer Satisfaction: What do satisfied vs. dissatisfied customers talk about?

Gosia
June 29th, 2016

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?

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Code by Hand? The Benefits of Automated and User-Guided Automated Customer Comment Coding

Gosia
May 25th, 2016

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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Beyond Sentiment – What Are Emotions, and Why Are They Useful to Analyze?

Tom H. C. Anderson
April 26th, 2016

Beyond Sentiment – What are emotions and why are they useful to analyze?– Text Analytics Tips by Gosia Emotions – Revealing What Really Matters Emotions are short-term intensive and subjective feelings directed at something or someone (e.g., fear, joy, sadness). They are different from moods, which last longer, but can be based on the same general […]

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How to Increase the Amount of Text Data for Analysis

Gosia
April 7th, 2016

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

Gosia
January 26th, 2016

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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Key Driver Analysis: Top-down & Bottom-up Approach

Gosia
January 15th, 2016

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

Gosia
December 31st, 2015

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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Text Analysis of 2012 Presidential Debates

Tom H. C. Anderson
October 21st, 2012
1 Comment

Obama more certain and positive – Romney more negative and direct Lately there’s been a craze in analyzing 140 character Tweets to make all sorts of inferences in regard to everything from brand affinity to political opinion. While I’m generally of the position that the best return on investment of text analytics is on large […]

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