AcclaimIP offers four tools for analyzing keywords in patents.

1. Keyword Counter --> Counts the frequency of occurrence of terms and strings in a single patent and provides tools to construct queries.
2. QueryFlow TermExtract --> Ranks the "importance" of terms using a TF/IDF algorithm and helps construct weighted queries.
3. QueryFlow TermExtract for Multiple Patents --> Counts important terms from a set of up to 10 different patents, counts intersections, and constructs weighted queries.
4. Document Clustering --> Document clustering bundles patents into multi-tier themes from a set of up to 1000 patents.

It is important to monitor the patent transaction landscape, and identify companies actively acquiring or divesting from particular patents.

AcclaimIP includes a filter/facet that identifies patents that have transacted.  If the current and the original assignee do NOT match, AcclaimIP marks the patent as Transacted.  That is, they are different, and therefore likely transacted.

The best searches will use both classification searches AND keyword searches together.  Let's examine how you might approach a patent search.  

Our Invention:

Let's say we want to find patents related to location-based monitoring and messaging.  The invention in question uses the cellular network, or other network like GPS, to find your location and compare it to a map, as well as a set of your personal preferences located on some server.  The method then notifies you of sales and promotions within a 5 minute walk or drive from your current location.  The invention has to know if you are walking or driving based on average speeds you are moving.  A five minute drive could translate into an hour walk, and who wants to walk an hour to save 25 cents on a Starbucks coffee (OK, you're never more than a 5 minute walk from a Starbucks.  Bad example.)  So that is the basic invention.