text analysis.

Learn More about Text Analysis in Displayr
31 October 2020 | by Matt Munley

Text Analysis in Displayr – General Resources These are the best places to start to learn about text analysis in Displayr. Webinar: The complete “how-to”

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Automatic Language Translation of Text Variables
03 May 2020 | by Tim Bock

In the screenshot below, for example, a text variable called Multilingual has been selected, and the button for Language translation then appears on the right side of

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Automatic Language Translation with Automatic Categorization
03 May 2020 | by Tim Bock

Our automatic categorization tool (Insert > Text Analysis > Automatic Categorization > Unstructed Text) now has the ability to translate both the input language, and

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Efficient Coding of Spontaneous Awareness Data in Q and Displayr
31 March 2020 | by Tim Bock

This post discusses the two approaches to efficient coding of spontaneous awareness data in Q and Displayr, and when to use which. While the example

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Automatically Classify New Text Data Using an Existing Categorization
07 March 2020 | by Tim Bock

Fully automated text analysis can, sometimes, do a great job. However, the gold standard for automatic categorization is to first get a human being to

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At Last, Machine Learning Can Accurately Categorize Text Data
09 November 2019 | by Tim Bock

5 Machine Learning Breakthroughs to Accurately Categorize Text!   For the last 20 years, the survey research industry has waited with bated breath for text

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Semi-Automatic Coding of Text Data: A Cutting-Edge Technique
04 November 2019 | by Tim Bock

Manually coding text data into categories is one of the great pains of survey research. By contrast, many automatic text coding tools ease the pain

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Choosing the Right Type of Manual Categorization for Text Analysis
01 November 2019 | by Kris Tonthat

Mutually Exclusive Categories means each of the text responses will be assigned to a single category. It’s appropriate if the data is relatively simple and each response really

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Automatic List Categorization of Text Data with Displayr
01 November 2019 | by Kris Tonthat

It can often be difficult and time-consuming to organize raw text data into meaningful insights. Manually coding even a single text question can take several

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Automatically Extract Entities and Sentiment from Text
01 November 2019 | by Tim Bock

Text data often refers to entities, such as people, organizations, or places. These entities can be automatically extracted from text data, and then used in

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Automatic Categorization of Unstructured Text Data
01 November 2019 | by Kris Tonthat

Categorizing text data can be a time-consuming and expensive activity. In cases where time is short and budgets low, using automatic categorization of text data

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Fully-integrated Text Analysis with Displayr
03 October 2019 | by Katie Savoca

In a state of information overload, people are communicating digitally more than ever whether it’s a tweet, reviews, or open-ended responses from a survey. The

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Tutorial: Smartphone Marketing – What’s in a Name?
27 July 2018 | by Madeleine Picard

Want to know how we made our visualizations? Find out how to do your own text analysis and create your own word clouds in Displayr!

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How to Categorize Open-Ended Survey Questions
01 May 2018 | by Mattias Engdahl

Open-Ended Survey Questions occur when you run a survey and ask a respondent to enter some text as an answer, learn how to categorize these questions.

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trump word cloud
How to Show Sentiment in Word Clouds using R
15 February 2018 | by Tim Bock

The Word Cloud above summarizes some data from tweets by President Trump. The green words are words that are significantly more likely to be used

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trump word cloud
How to Show Sentiment in Word Clouds using Displayr
14 February 2018 | by Tim Bock

Word clouds: Use Displayr to show colour based sentiment in word clouds. A step by Step guide by Data Scientist Tim Bock.

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Text Analysis: Predicting Engagement from Tweets
27 February 2017 | by Chris Facer

Why do some tweets sizzle while others fizzle? Sometimes it’s obvious. But if you have a large quantity of tweet text, or other text for

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Term document matrix
Text Analysis: Hooking up Your Term Document Matrix to Custom R Code
27 February 2017 | by Chris Facer

To feed information about text into a statistical algorithm, it must first be converted into a form amenable to doing calculations - a term document matrix.

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Sentiment analysis word cloud
How to Set up Your Text Analysis in Displayr
27 February 2017 | by Chris Facer
Text data can be an unwieldy beast. Whether you're analyzing tweets, reviews, or open-ended responses from a survey, you will usually need to do some...

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Using Text Analytics to Tidy a Word Cloud
27 February 2017 | by Tim Bock

It is common when people create word clouds that they want more control. Limit the word cloud to frequently occurring words. Join together words in phrases. Automatically

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