System and method for detecting personal experience event reports from user generated internet content

Abstract

A method implementable on a computing device for detecting in an Internet post a shortest relevant text product experience is disclosed. The method includes detecting a pair of anchors from two anchor categories, where the anchor categories are also term categories associated with a predefined search subject and represent two essential relevant components of experience reports. The method additionally includes defining a basic segment as a shortest section of text between the pair of anchors.

What is claimed is: 
     
         1 . A method implementable in a computing device for detecting in an Internet post a shortest relevant text product experience, the method comprising:
 detecting a pair of anchors from two anchor categories, wherein said anchor categories are also term categories associated with a predefined search subject, and represent two essential relevant components of experience reports; and   defining a basic segment as a shortest section of text between said pair of anchors.   
     
     
         2 . A method according to  claim 1  wherein said experience reports comprise personal experience reports. 
     
     
         3 . A method according to  claim 1 , also comprising:
 detecting when said shortest section of text does not include at least one term from each of a minimum number of term categories, and;   expanding said basic segment to extend beyond said shortest section of text to include at least one said term from each of said minimum number of term categories   
     
     
         4 . A segment analyzer for detecting in an Internet post the shortest relevant text segment with user generated personal product experience comprising:
 an anchor detection module to access an anchor database to detect at least a pair of anchors in the Internet posts that pass through a post filtering module, wherein said pair of anchors represents one term from a name category associated with a pre-defined search subject, and one term from a second category associated with said pre-defined search subject; and   a basic segmentation unit to define basic post segments, wherein said basic post segments contain at least said pair of anchors and expressions from additional categories of terms located in a term database.   
     
     
         5 . A segment analyzer according to  claim 4  comprising:
 a density calculator to calculate a cumulative density of said expressions in said basic post segments, wherein each of said expressions is weighted to indicate its contribution to said density; and 
 a segment optimizer to expand said basic post segments in accordance with a maximum cumulative density as calculated by said density calculator. 
 
     
     
         6 . A segment analyzer according to  claim 5  wherein said density calculator recalculates said density value for said expanded basic segment. 
     
     
         7 . A segment analyzer according to  claim 6  wherein said segment optimizer iteratively repeats said expanding and said recalculating until said recalculated density value is less than a previously calculated density value.