Insightful
Dynamic
Integrity
Starting as an MIT Media Lab project to determine whether computers could understand language like humans do, Luminoso's natural language understanding engine adapts to your unique domain as it evolves, without cumbersome ontologies for training.
Luminoso Daylight™ enables you to facilitate "Qual at the Quant", diving into the deep and rich stories people usually share in focus groups by the thousands and beyond.
Joyce Schofield contextualizes the role AI plays on her teams, and shares how Luminoso Daylight empowers product teams to understand customers better. Joyce is an Executive Product leader with experience implementing digital transformation across enterprises.
Natural Language Understanding
NLU and Artificial Intelligence transform how research is done,
but don't take our word for it, listen to industry experts.
What is Luminoso?
Luminoso Founder, Dr. Catherine Havasi, shares how Luminoso enables global businesses to make more strategic decisions with native natural language processing. Language evolves quickly and new trends emerge daily due to the prevalence of platforms like TikTok driving internet culture’s velocity. Few solutions are up to the challenge of keeping up with cultural trends and terms the way Luminoso is.
What is Artificial Intelligence?
What is artificial intelligence? With so many types of AI available, we must be able to differentiate the applications of each unique tool and resource. What is Natural Language Understanding? What is a domain? What solutions are possible when we stitch all those things together as we approach generalized artificial intelligence? Beth Rudden demystifies the AI industry jargon so we can democratize AI for everybody.
What about ChatGPT
and GenAI for text analysis?
and GenAI for text analysis?
Everyone on the internet today has engaged with generative AI content to varying degrees. It’s driving chatbot conversations, creating marketing and entertainment content, informing business strategies, and so much more. Tom Reamy affirms the strengths Generative AI has to offer and speaks to the ways effective deep text analysis and dynamic text solutions like Luminoso’s can bridge the shortcomings Generative AI leaves behind.
What's the difference between
Natural Language Understanding
and Natural Language Processing?
Natural Language Understanding
and Natural Language Processing?
Understanding is a labor, not an act. Natural Language Processing includes Natural Language Classification, Generation, and Understanding. Beth Rudden explains the differences between the three types of NLP, recognizing the importance Natural Language Understanding has in our ever changing world.
What is "Qual at the Quant"?
Leveling up focus groups.
Leveling up focus groups.
You understand the unique insights that come from people sharing their stories. A lot of effort and time is put into curating discussion guides and getting the right people into a productive conversation. You learn something new. Your sense of human connection deepens, but you recognize there are serious downsides to relying too heavily on this approach. Jim White recognizes the value of deep stories, and shares how Advanced Qualitative Research reduces focus groups biases, and expands the scope of what was previously thought possible.
What about voice to text?
Optimizing transcripts for insights.
Optimizing transcripts for insights.
There are increasing ways survey respondents and reviewers can forge or fake answers to open-ended questions with ChatGPT and AI generated text becoming further integrated into every platform. When we need cut out the AI noise and understand real verified people, we can turn to live human conversations, but how do we optimize those conversations for analysis? Daniel Hong joins Kim Larson to discuss how transcription technology has evolved, and how you can optimize your interviews for deep and scalable analysis.
I've done the research.
Now what?
Now what?
How do you know when you’re done? How do you know if your insights were accurate? How do you know if your suggestions were meaningful? You utilized significant volumes of high-quality, rich, storyful data. You performed your most unbiased analysis using the most advanced debiased technologies. You made recommendations that will be transformational. Beth Rudden shares the key to unlocking when the research process is over.
Luminoso Research
Storyful Neighborhood Culture Studies
The people of the St. Johns community in Portland, OR shared their greatest joys, wishes, traumas, and deepest fears in the study fostered by Luminoso.
Respecting the feedback by making meaningful changes keeps communication channels open for future research.
Explore stories people shared in this ground-breaking and insightful study.
Interested in conducing a survey for your own area or company? Book a consultation – We’re happy to help you as we’ve helped other neighborhoods who’ve followed suit.
Luminoso Daylight™
Features and functionality to users started and ready in minutes
Discover how Luminoso’s AI-powered text analytics platform can revolutionize your business. You’ll see how Luminoso quickly processes and analyzes vast amounts of unstructured text data, regardless of feedback channel.
Learn about key features that help uncover trends, sentiments, and actionable insights, enabling better decision-making and enhanced customer experiences.
Auto Tagging
Automatically assign relevant tags to data for easy organization and retrieval
Categorization
Group data into meaningful categories to streamline analysis and insights
Subset & Trend Analysis
Visualize sentiment, drivers, and volume trends over time
Vectors
Utilize advanced vector-based analysis to uncover deep relationships in your data
Outlier Identification
Automatically assign relevant tags to data for easy organization and retrieval
Auto Classificiation
Automatically classify data into predefined categories for efficient processing
Themes
Identify organic themes in your data to understand major topic patterns in your data
Review Scraping
Extract and analyze reviews from sources like Amazon for valuable consumer insights
Applications
Luminoso's technology transforms unstructured data into a valuable asset,
driving smarter decisions and business growth across industries and applications.
Discover how Luminoso’s AI-powered text analytics platform can revolutionize your business. You’ll see how Luminoso quickly processes and analyzes vast amounts of unstructured text data, such as customer feedback and social media posts.
Learn about key features that help uncover trends, sentiments, and actionable insights, enabling better decision-making and enhanced customer experiences.
Customer Experience
Improve products and services by gaining deeper insights from customer feedback
Voice of the Employee
Boost workplace satisfaction and productivity by understanding employee feedback
Market
Research
Stay ahead of trends and preferences to make informed business decisions
Reputation Management
Enhance brand reputation by effectively responding to online reviews and social media feedback
About the Science
Founded at the MIT Media Lab after nearly a decade of research, the technology that powers Luminoso products and solutions has deep roots in leading artificial intelligence and natural language understanding.
What is ConceptNet?
QuickLearn’s unsupervised learning leverages a vast background space, based on ConceptNet, that represents how people use language. ConceptNet is a knowledge graph designed to help computers understand the meanings of words that people use. Through the use of the background space derived from ConceptNet, QuickLearn is able to learn from context like humans do and exhibit common sense understanding.
What is QuickLearn?
Human language is social. It’s dynamic. It’s heavily context- and domain based. The varying settings where language is used – locations, industries, subject matters, and cultures – heavily influence what kind of language is used and what words mean. This variety makes it incredibly difficult to create a generalized computer solution that works across any domain or context. Luminoso has developed QuickLearn® as a commercially viable solution to this problem.
QuickLearn® employs an advanced form of transfer learning enabling the realization of unsupervised learning. This leads to unparalleled adaptability and understanding driving deeper and more meaningful insights quickly and at scale.
How Does Bias Effect Your Results?
