Galaxy feature: Visualize associations
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 visualization indicates how relevant it is in the project. Related concepts cluster together by theme. Since the view is dynamic, you can drag concepts in the space to realign the […]
Roles and actions in Daylight
In 2019, Luminoso redesigned account handling in Daylight. These changes clarify roles and permissions, make account management more intuitive at every level, introduce better password rules, and manage API tokens more securely. This update replaces “accounts” with “workspaces,” and introduces “organizations.” Workspaces allow users in organizations to have permission levels for each workspace. With this infrastructure change, you […]
Search bar and concept editor
Use the search bar, which sits at the top of all features except Highlights, to search for concepts. In this bar, you can also edit a concept’s name and color and create and edit compound concepts. Select a concept by entering the concept in the search bar and or clicking to select it in a feature. To […]
Add from visualization
Adding 5 concepts from a visualization to your active concept list is manageable. In contrast, adding all the concepts from a visualization to your list is tedious. You have to click and add each individual concept. This takes a lot of time and effort and might slow down your productivity. The Add from visualization button streamlines this workflow. It […]
Learn the sidebar
Each feature, except for Highlights, shares a common sidebar that you can manage and configure your Daylight information. Use it to: Search details To see information in the Search details tab, either enter a search in the search bar or click a concept to select it. Then, the tab displays total, exact, and conceptual match information for […]
Formatting data
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 can refer to the Using different data sources with Daylight page for some pointers on different types of text data to consider. You will also want to include some metadata to provide context for […]
Sentiment feature: Detect positive, negative, and neutral
Use Sentiment to learn about concepts’ association with types of emotion. Daylight uses a proprietary deep learning model to determine sentiment for all concepts in a project and assigns a label of positive, negative, or neutral, based on the concept’s context. Please use the percentage counts in this feature as a general indication.
Volume feature: Quantify concepts
Gain quick insight into concept representation across the dataset. The Volume feature automatically quantifies how frequently concepts are referenced in the project using the exact and conceptual matching identified by QuickLearn.
Start with the Highlights feature
The Highlights feature is a starting point in understanding the contents of your project. In this feature, orient yourself and start navigating the primary questions you can answer using Daylight: You’ll first view Daylight’s answers to these questions in Highlights, and then engage deeply with each data perspective as you move through the Volume, Sentiment, Drivers, and Galaxy features. What metadata do my documents have? — View the […]
Daylight
The Luminoso product that analyzes natural language text documents and produces insights about those documents. Daylight uses Luminoso QuickLearn technology to learn specific meanings of words and phrases in a dataset. Daylight identifies concepts that are most meaningful within a project and its conceptual matches.