September 29, 2025
How to log into Daylight for the first time: After a Luminoso Daylight Administrator has set you up as a user, you will receive an email from provisioning@luminoso.com with a single-use link to create your password and enter your name. If you do not create a password, this link expires after 7 days.If your link expires, contact your Daylight Administrator to create a new user account for you. After you’ve created your password, use your username as your registered email address to log into Daylight. If you forget your password: Click the “Forgot password?” link on the login page. Look for a new email from provisioning@luminoso.com with a link to create a new password. You will have 60 minutes to create a new password before the new link expires. Accessing multiple workspaces: Luminoso Daylight workspaces allow organizations to segment which users have access to specific projects. Users with Organization-level roles
What is Helios? Helios is the Luminoso Daylight Assistant, powered by Claude. What does Helios do? Helios explores the Galaxy, guided by Daylight as he helps Luminoso customers with summaries, descriptions, key insights, and more. Where can I find Helios? Nestled in the chat at the bottom right corner of Luminoso’s Daylight Application, click on Helios to open the chat interface and ask him any question you’d like. Get high-level summaries, dive into specific topics, and more: Helios is also available in the Concept Lists menu with the “Add with Helios” button. This creates a set of labels for general themes that surfaced in your project, as well as individual deep dive lists for each of those themes. Dashboard Summary widgets Does Helios use my data to train other Large Language Models? No. Helios keeps your data private. Helios does not store your data, nor is the data provided to
Preparing a dataset for upload Now that you have an account on Daylight and access to a Workspace, the next step is to upload some text data to analyze. You will also want to include some metadata to provide context for the text data, such as demographic information, dates, scores, etc. Metadata can be used to filter the data and analyze a subset of the dataset. Numerical data can also be used in Drivers analysis, which you will learn about later in this document. Key vocabulary Before we get started, here are some terms that we will be using throughout this section of the document. From the Project List page, users with the Admins and Creator roles may create a new project with “+ New project” or add new data to an existing project with “+Add data” The next page is where users identify the data to be analyzed in
Vocabulary: How to get started with Helios On the Highlights page, click the “+ Helios Themes” button: If Helios Themes have already been created, the
About the data source: The dataset contains 50,000 reviews collected from beeradvocate.com. Each review includes the name of the beer as the Title, the alcohol
In Luminoso Daylight, Sentiment is defined at the concept level. Sentiment_counts refers to the number of concepts with positive, neutral, and negative sentiments, and sentiment_share
Generated Helios Themes generated from the Highlights page produce a Helios Themes list as well as a concept list for each created theme: If you
Impact Score is calculated using the following data points: Using these data points, Impact Score is calculated as follows: Scaling: Due to the small size
Use the Galaxy feature to see how strong conceptual relationships are in the context of your entire project. The size of a concept in the
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Our cloud-based platform for text analytics revolutionizes the way organizations uncover insights from conversational and text data, such as survey submissions, support tickets, and product reviews. With support for 14 languages, Luminoso Daylight™ preserves the nuance of stories as communicated by customers, employees, and industry voices.
Powered by advanced machine learning, our platform goes beyond surface-level understanding by understanding language as well as a human down to the sutble nuances. It uncovers hidden patterns, sentiments, and biases, empowering organizations to make data-driven decisions with confidence.
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