VantagePoint is a professional-grade desktop text mining application offering Analysts a broad suite of powerful refining, analyzing, and reporting tools for scientific, technical, market and patent information.
Introduction to VantagePoint - Click for a quick overview.
VantagePoint plays a role in reports from the UK Intellectual Patent Office.
To start a trial of VantagePoint follow one of the links below:
VantagePoint is not locked into any one data source. Whether you are analyzing publications, patents, or internal data, VantagePoint’s import tools are designed to process information from a wide variety of sources. Browse the Library to see if your key data resources work with VantagePoint or Contact Us if you have a question about your data.
From Excel® to XML, and pretty much anything in between, from patent and publication databases to mining your own email, VantagePoint’s ability to import, refine, analyze and report enables you to transform analysis into insight.
VantagePoint works with search results from text databases. First conduct a search using a search engine provided by your database provider. Then download the raw data to your computer, and import it into VantagePoint using an Import Filter.
VantagePoint is most useful when your search strategy returns "more than you want to read." It can provide great benefit when working with only a few dozen records, but it is most helpful when you need to work with thousands of records.
VantagePoint’s capabilities can be broadly classified into five categories:
The menu at the top-right of this page lists just a few of VantagePoint’s major features. Browse these pages to get an overview of how VantagePoint can help you get good answers quickly.
For this import process, VantagePoint uses Import Filters, which can be specifically tailored for each database, database provider, and your particular requirements. Our Import Engine is a powerful tool for leveraging the value that is hidden in your data.
Top 10 Lists: You can browse your data from many perspectives. The simplest tool is a list. Using a list of affiliations (or authors or countries), you can see the top affiliations (or authors or countries) and browse the records for each one. You can sort and search your lists in an instant, and create groups in your lists in many different ways.
List Comparison lets you compare any two lists from any set of VantagePoint data and identify the common or unique items in the lists. With time-sliced data sets, this can help you identify new or emerging concepts, authors, institutions, or countries.
Using Group using Thesaurus, you can apply a thesaurus to your list and create groups of list items.
Find and Group searches the list for your target text and adds matching items to a group. Find provides for three search strings and several Boolean operators (for example, "and," "adjacent," "near4," "or", etc.).
… and no, you are not limited to viewing 10 at a time.
Co-occurrence Matrices: Using a Co-occurrence matrix, you can spread a list across any other list. For example, using a co-occurrence matrix of "author" and "year of publication," you can see an author's publication trend over time and browse their publications by year. This way, you can see which authors have been working in an area for the longest time as well as whether they are still active.
|Data from lists and co-occurrence matrices can be easily exported to other applications for visualization or customized analysis. This example shows a three-dimensional column chart created using VantagePoint data in Microsoft Excel—simply select a portion of the co-occurrence matrix, copy it to the Clipboard, and paste into Excel.|
|This example is created from a co-occurrence matrix of publication source-by-year. It shows the relative publication trends in the different research communities. The "research communities" are created in a list—Group using Thesaurus—and the co-occurrence matrix is created using the groups. These data are also exported directly from VantagePoint and plotted in Microsoft Excel.|
Maps/Networks: Beyond one-dimensional (Lists) and two-dimensional (Co-occurrence matrices) analyses, VantagePoint performs multidimensional statistical analysis to identify clusters and relationships among concepts, people, organizations, and countries.
|This example shows a Cross-Correlation Map. Each node represents one company. Proximity of organizations and links between them show the strength of relationship (correlation) based on the portfolio of IPC codes assigned to their patents. In this case, the technologies being patented vary significantly between regions, but overlap among local competitors.|
This example shows a factor map of Descriptors (index terms) in a dataset. Each node may represent several descriptors that are combined based on how frequently they occur together. Proximity and links show higher correlation among terms. From the map the user can browse the underlying text for each node.
Data Cleaning: VantagePoint uses fuzzy matching techniques to identify, associate, and clean up data. For example, it will handle misspellings, alternative hyphenation and capitalization, and differing conventions for listing the names of people and companies, providing you with higher-quality data that is essential for good analysis. The data cleaning tools can be applied to any field, and VantagePoint can automatically "check" the fuzzy matches by looking at a complementary field—for example when matching inventor names, also requiring the assignee to match.
After VantagePoint's automatic cleanup, the Cleanup Confirm window gives you a powerful toolset and full control of the results. The Detail Windows let you interactively validate the cleanup suggestions.
User Managed Thesauri: With VantagePoint you can create, edit, and apply thesauri, which can be used for specialized data reduction or conversion. Using a thesaurus, you can easily combine all variants of a data element (for example, United States, US, U.S., USA, etc.). For other types of analysis, you can combine data elements into broad categories (for example, "aluminum alloys," "magnesium alloys," "carbon fiber reinforced plastics," and "copper alloys" into "Materials"; or "USA," "Canada," and "Mexico" into "North America"). You can also use a thesaurus to transform classification codes or index terms into something more easily understood.
VantagePoint's Thesaurus Editor provides several interactive tools for creating, editing, testing, and managing your thesauri. VantagePoint's thesauri support both normal text and Regular Expressions for matching data in the source list.
|Scripting: VantagePoint's uses Microsoft's VBScript to automate analysis techniques, interact with other software like Excel, and create complex HTML visualizations. Ask us about creating your own scripts to make your internal cleanup processes and analysis techniques easily repeatable.|
Installation on Windows Server is not supported. Other operating systems (e.g., Macintosh OS X or Linux) are not supported.
Processor - Intel i3 (64-bit) or better, or similar non-mobile processors. The faster the processor, the better the performance. VantagePoint will use multi-core processors to improve performance of many operations.
Memory - The minimum operating RAM is 4 GB, but at least 8 GB is recommended. For most professional versions of Windows, VantagePoint can use up to 128GB of RAM, and some versions of Windows allow much more.
The available physical RAM has the biggest impact on VantagePoint performance. VantagePoint files can be quite large, and it is much easier to work with them if they can be loaded into RAM. If the operating system has to use Virtual Memory to load a file into VantagePoint, performance will be slower.
Disk Space - VantagePoint itself uses about 700MB of disk space. This does not include the disk space needed for your data files, which can be quite large - typically no less than 5MB/1000 records.
Since VantagePoint files can be quite large, a fast hard drive reduces the time required to load the file from storage to RAM. Standard drive sizes are usually more than sufficient for VantagePoint file storage. If you are planning to work with large files on a regular basis, it is helpful to have a Solid State Drive (SSD).
Display - Graphical and tabular outputs of VantagePoint require a minimum of 1280 x 720 screen resolution. Many users have told us that having a large monitor (or two) is the best improvement they have made to their VantagePoint experience after adding more RAM.
Data - In addition, VantagePoint requires that you have access to sources of bibliographic data and database definition files for these data sources. Database definition files are available for many popular databases and custom definition files can be coded for virtually any structured text database.
Licensing: VantagePoint is offered as a 12-month Subscription.
Included with each Subscription:
Pricing: If you would like information on pricing, volume discounts, or academic licensing, please contact us.