<p>Proximity searching is a basic technique you need to learn to find one term within a certain number of words of another search term.  </p> <p><strong>Basic Syntax:</strong></p> <p>To do a proximity search, put your terms in quotation marks then add the tilde ( ~ ) character, then the maximum number of terms between the two or more terms you want to search.</p> <p>&quot;Toilet Seat&quot;~3  --&gt;  Finds the &quot;Toilet&quot; and &quot;Seat&quot; within  three terms of each other.</p> <p>&quot;Toilet Seat Cover&quot;~5  --&gt;  Finds the the terms &quot;toilet&quot; and &quot;seat&quot; within 5 words of each other, and &quot;Seat&quot; and &quot;Cover&quot; also within 5 words of each other.</p> <p>You can use as many terms as you wish in your proximity searches.  As a general rule, use 2 to 4 to find the terms within the same phrase, 7 to 15 to find them in the same sentence, and 15 to about 25 to find the terms in the same paragraph or claim. &nbsp;Of course the distances are cumulative, a search with six terms within five words of each other can span up to 30 terms.</p>

<p>Research folders may be shared between other AcclaimIP users on your team. &nbsp;You can also invite external AcclaimIP users to share folders with you are your team.</p>

<p>AcclaimIP offers four tools for analyzing keywords in patents.</p> <ol><li><strong>Keyword Counter </strong>--&gt; Counts the frequency of occurrence of terms and strings in a single patent and provides tools to construct queries.</li> <li><strong>QueryFlow TermExtract</strong> --&gt; Ranks the &quot;importance&quot; of terms using a TF/IDF algorithm and helps construct weighted queries.</li> <li><strong>QueryFlow TermExtract for Multiple Patents</strong> --&gt; Counts important terms from a set of up to 10 different patents, counts intersections, and constructs weighted queries.</li> <li><strong>Document Clustering</strong> --&gt; Document clustering bundles patents into multi-tier themes from a set of up to 1000 patents.</li> </ol>