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” guide for analyzing market research text data
- Ebook: Using Machine Learning to Automate Text Coding
- Fully-integrated Text Analysis with Displayr
- How to Set up Your Text Analysis in Displayr
- Technical Documentation: Text Analysis
- At Last, Machine Learning Can Accurately Categorize Text Data
- Automatic Language Translation of Text Variables
- How to Analyze Free-Form Text Data from Surveys
General Categorization (Coding) Resources
Automatic Categorization
- Automatic List Categorization of Text Data with Displayr
- How to: Automatic Coding of Unstructured Text Data
- Automatically Classify New Text Data Using an Existing Categorization
- Automatically Extract Entities and Sentiment from Text
- Automatic Categorization of Unstructured Text Data
Manual & Semi-automatic Categorization
- Technical Documentation: Manual Categorization - Multiple Overlapping Categories
- Choosing the Right Type of Manual Categorization for Text Analysis
Sentiment analysis
- Technical Documentation: Sentiment Analysis
- Twitter Sentiment Analysis Example
- How to Calculate Sentiment Scores for Open-Ended Responses in Displayr
Word Clouds
- Technical Documentation: Creating and Combining Phrases in Word Clouds
- Using Text Analytics to Tidy a Word Cloud
- The Best Tool for Creating a Word Cloud
Other Uses of Text Data
- Principal Component Analysis of Text Data
- Using Text Data for Driver Analysis
- Text Analysis: Predicting Engagement from Tweets
- R Code & Text Analysis: Hooking up Your Term Document Matrix to Custom R Code