text: FM 2-22.3 ________________________________________________________________________________
  Analytical products must be responsive to the special needs of a specific
  collection operation, project, or element.
  13-12. HUMINT collectors run operations in terrain made up of persons,
  organizations, and installations of interest. Intelligence analysis support
  determines the specific terrain in each team area and how it differs from
  one team’s named area of interest (NAI) to another. Specific products
  include studies on nominated targets (persons, organizations, and
  installations) and trends based on HUMINT reporting, as appropriate, and
  visual analysis products (time event charts, matrices, link analysis
  diagrams, and organizational diagrams).
  AUTOMATED ANALYSIS TOOLS
  13-13. Automation of HUMINT analytical tools such as time event charts,
  association matrices, activity matrices, and link analysis diagrams
  dramatically increase predictive analysis capability. Automation saves
  time and permits access to more complete information thus producing a
  more accurate, timely product. Automated analysis techniques, aided by
  computerized virtual-viewing programs, allow the analyst better battlefield
  visualization. Automated analysis, linked to data and databases, includes
  artificial intelligence programs. These programs assist the analyst in
  developing predictions and identifying information gaps to support
  targeting and collection. Automation and web-based tools allow the analyst
  to⎯
  • Track and cross-cue HUMINT reports.
  • Incorporate data extraction technology, retrieval, automated data
  organization, content analysis, and visualization.
  • Share analytical conclusions with HUMINT teams and other
  analysts in real time.
  • Apply multidimensional technologies, content analysis techniques,
  and web-based collaborations.
  • Display analytical results and view HUMINT operations in real time.
  • Share resources such as models, queries, visualizations, map
  overlays, geospatial images, and tool outputs through a common
  interface.
  • Apply clustering (a nonlinear search that compiles the results based
  on search parameters) and rapid spatial graphical and geographic
  visualization tools to determine the meaning of large informational
  streams.
  • Rapidly discover links, patterns, relationships, and trends in text to
  use in predictive analysis.
  • Capture analytical conclusions and automatically transfer to
  intelligence databases and systems.