Knowledge Graphs Now Available
Knowledge Graph: The Easiest Way to Turn Your Text into a Graph
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Interpreting Unstructured Text, Focused on Relationships
From literary and film synopses to academic papers, news articles, court rulings, and reports,
most of the information we work with comes in the form of text.
But uncovering the complex relationships within those texts is no easy task. The newly updated Knowledge Graph automatically extracts and structures key entities—such as people, places, concepts, and events into a network.
No more manually organizing messy texts.
With NetMiner, you can now visually explore the hidden context and connections inside your data - at a glance. |
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☞ See examples Relationships within Avengers, Squid Game, News and Precedent
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If you're already using NetMiner 5, enable auto-updates in your Preferences to access the latest features with ease. |
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Knowledge Graph
With just one click, you can automatically extract and visualize relationships among people, events, and places embedded in unstructured text. Try it now in the Lab!
※ Make sure to enable an AI model in Preferences to use the Knowledge Graph feature. |
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Social Network Analysis
Seven powerful social network algorithms have been added:
Structural Hole, k-core, Status Centrality, Betweenness Community, Modularity Community, Brokerage, and Assortativity. |
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Improved Network Visualization
Network visualization is now more convenient and powerful.
You can copy legends and use the new toolbar to zoom in/out, toggle node labels, use a mini-map, and export images easily. |
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New Chart Visualizations
Present your results more effectively with added support for line charts and word clouds. |
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We’ve also fixed several known bugs. |
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macOS version is on the way!
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NetMiner is a social network analysis / graph analytics platform
and provides all the features to support your data analysis workflow
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ⓒ CYRAM Inc. | 253, Pangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
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