VantagePoint - Text Analytics on Your Terms
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 Literature - Download our flyer (also in ESPAÑOL, PORTUGUÊS, and DEUTSCH)
VantagePoint plays a role in reports from the UK Intellectual Patent Office.
To start a trial of VantagePoint follow one of the links below:
"Will my data work in VantagePoint?"
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 v15 Now Available!
For today’s empowered analysts
- Seeking a big picture analysis and visualization of a topic’s implicit landscape?
- NEW NLP driven algorithms behind Create Concept Grid (for terms) and Cluster Records (for records) automate the clustering, naming, and visualization of a topic’s major areas and underlying sub-areas, all while maintaining detail drill-down ability.
- Need more dimensions in your analyses and visualizations?
- Our NEW Sankey Chart communicates the flow of data. Add a third field to our popular Bubble Charts with the NEW Bubble Pie.
- Are you analyzing teams of people for competitive intelligence or human resource assessments?
- NEW Social Network Metrics calculate how connected individuals are, including identifying critical, keystone individuals.
The powerful suite of analytical features in VantagePoint make it a natural fit for research associated with meta-analyses. D.P. Córdoba-Rodríguez, et.al. used Medline/PubMed, Embase, Scopus, Web of Science, and SciELO in the recent publication "Fat-free/lean body mass in children with insulin resistance or metabolic syndrome: a systematic review and meta-analysis." Other VantagePoint enabled meta-analysis examples include S. Vadalkar, et.al.'s "A critical review of international print advertisements: evolutionary analysis, assessment and elucidations, from 1965 to 2020", A.M. Martella, et.al.'s cross analysis comparing research with a pivotal meta-analysis "Investigating the active learning research landscape through a bibliometric analysis of an influential meta-analysis on active learning" and s. Xu, et.al.'s analysis of meta-analyses "Changing soil carbon: influencing factors, sequestration strategy and research direction."
