- Automatically Classify Records introduces a new artificial intelligence tool in VantagePoint
- Find Similar Records tool aids data exploration and record classification
- New workflow-oriented user interface simplifies workflow and improves the user’s experience
- New workspace tools give the user more control of the workspace
- New Cluster Map visualization (retiring Aduna)
- New View Records options
- Enhanced Export Image
- Now Add/Edit Note to sheets and color-code tabs
- Update to calculate Emergence indicators script
- Update to Super Profile script
- Embedded browser removes dependence on IE version
- Bug fixes and performance improvements
Downloading and installing VantagePoint v10.0
Details on upgrading from an earlier version and transitioning from 32-bit to 64-bit versions can be found on our website in the upgrade FAQ.
VPv10.0 introduces a brand new tool to assist the Record Classification task. You define your Classification fields (one or more), specify the training fields (e.g., titles and abstracts). Then begin manually classifying some records. VantagePoint analyzes your classifications and gives you a continuous assessment of its confidence in auto-classifying the remainder of the records. When you decide the confidence is high enough, you can release the auto-classifier to do the rest. When VantagePoint is not confident enough to classify a particular record, it places it in a special group so you can review it later.
From the Record View, click the radar icon to find records that are similar records to the records you are viewing. VP uses the training fields for Auto-classification to find similar records. The records and a percent similarity measure are presented in another window.
VantagePoint v10.0's new workflow-oriented interface improves the user's experience by arranging all tools and operations into the 4 basic analysis steps: import, refine, analyze, and report.
The new ribbon toolbar provides quick and easy access to all of VantagePoint's tools. There are seven ribbons in the new design: Home, Refine, Analyze, Report, Editors, View, and Help.
The Home ribbon has the tools you need to start a new analysis, open and save files, perform frequent tasks, and manage sheets in your dataset.
The Refine ribbon has many tools that help you work with datasets, fields, and groups.
The Analyze ribbon contains VantagePoint's tools for deep exploration of your data. It is also the gateway to VantagePoint's scripting engine for specialized and customized tools and workflow.
The Report ribbon has several tools that create visualizations in your dataset for interactive analysis. From here you can export your visualizations for reports and export your enhanced data to other tools.
The Editors ribbon provides access to the tools you can use to customize your analysis environment with your own thesauri, fuzzy cleanup rulesets, import filters, and Meta Tags.
The View ribbon lets you tailor your workspace and manage the sheets in your datasets. This is where you find the helpful Reset to Default that you can use to restore your workspace to the original as-installed arrangement.
The Help ribbon gives you convenient access to VantagePoint's Help tools and Support links.
Finally, notice the Application button (the compass in the top left corner) and the Quick Access Toolbar (across the top). The Application button provides an easy way to open recent datasets, import new data, export images, and manage Options. The Quick Access Toolbar gives you an always-visible toolbar you can customize for quick and convenient access to your own selection of VantagePoint's tools.
Type-to-filter to select fields in Detail Windows, Create Matrix, Maps, Sub-dataset, and Field-from-groups dialogs.
Drag-and-drop cues for moving, docking, and tabbing Title Window, Detail Windows, Analyst Guide, and My Keywords.
We are pleased to announce the release of our new Cluster Map tool that delivers much of the same visual analytic power as the popular Aduna visualization. This new script has better integration with VantagePoint’s user interface, and provides a fully supported foundation for future enhancement and development. (The Aduna visualization has been retired because of Java security concerns, compatibility problems, and a persistent lack of updates and support from the 3rd party provider.)
VantagePoint has added two new options for viewing multiple records in the "Show Fields" Record View. In addition to the traditional way as a table, you can view each record on a separate row or column.
There are now four Export Image options for many visualizations, including new options to export high resolution PDF images and interactive HTML visualizations.
Right click on a sheet tab to add/edit notes to each sheet in your dataset. Also sheet tabs in your dataset are now color-coded by type to make it easier for the user to find the desired sheet.
Emergence is upgraded with the addition of Emergence Scoring (patent pending), which is selected by default. It will create a score for a set of terms appearing in a dataset. These scores can then also be used to calculate scores for secondary indicators such as Authors, Affiliations, Countries and new in version 10.0, individual records via scoring of Titles. Major speed improvements in VPv10.0 have also drastically cut run time on large scale datasets allowing for faster scoring and more opportunities for fine tuning results.
We have made styling and functional improvements for the embedded Super Profile sheets, including resizable columns and sticky header on scroll.
Previous versions of VantagePoint used external browsers, specifically Windows Internet Explorer, for many dialogs and visualizations. Technological changes in IE and different adoption rates made it difficult to ensure that VP worked well for all of our customers around the world.
VantagePoint v10.0 no longer depends on external browsers. This will help ensure our customers have better performance and fewer compatibility problems in the future.
- VPv10.0 fixes some relatively obscure and infrequent bugs
- There are many performance improvements, most notably the time it takes to open big lists in big datasets has been cut by orders of magnitude.