Text Analytics: Quickly turn text into strategy with AI

The world is full of text. From open-ended responses, through to social media and product names. In this webinar will show you how to: Automatically identify themes in your data. Automatically classify text data into themes (including existing themes). Modify AI prompts to fine-tune your text analysis. Efficiently use categorized text data in other analysis (crosstabs, trend analysis, etc.) Learn more at: https://www.displayr.com/text-analyti... Book a live demo: https://www.displayr.com/book-a-demo/​​ #Displayr​​ #marketresearch​ #textanalytics #textcategorization #ai #dataanalysis ___________________________________________________________________________________________ 0:00 Intro 5:40 How to use AI for text analytics 9:02 Categorizing survey responses in Displayr 14:17 Text categorization for longitudinal datasets 18:43 Prompt engineering for AI text analysis 22:14 Sentiment analysis in Displayr with AI prompts 26:30 Back coding/Up coding 29:09 Spontaneous and top-of-mind awareness 33:29 Setting up your own categories for AI classification 34:15 Can AI text analysis pick up on sarcasm? 35:11 Do you need an OpenAI subscription to connect to Displayr AI? 36:57 Customizing word cloud 38:40 What is the rate of AI hallucinations? 40:20 How long of a text response can you use? 41:03 Displayr's new interface 41:44 Dealing with multi-sentence responses 42:22 Political use cases of text analysis 44:06 Exporting 44:55 Finding new themes over a longitudinal study 46:57 Can you connect Displayr to Google Gemini? 47:48 Reducing the number of categories 49:26 How does the text analytics algorithm work? 50:16 Going deeper into your categories 52:50 How many different comments can Displayr analyze? 53:25 Inconsistency across different AI text analyses 54:49 Do you need an OpenAI premium account? 55:33 Changing just one category _________________________________________________________________________________________