Patent ID: 8166032
Filing Date: 2012-04-24
Classification: G06F,G06Q

Abstract:
1. A computer implemented method of assessing human sentiment from a group of documents, each document in the group of documents having a plurality of terms and being digitally represented in a computer, the method comprising: receiving, by the computer, a group of documents, each document in the group of documents comprising a context of a plurality of terms and all documents in the group of documents representative of a particular topic; constructing, by the computer, a document sentiment vector space from the group of documents, wherein construction of the document sentiment vector space comprises: identifying sentimentally significant documents in the group of documents with heightened sentimentality toward the particular topic, by the computer, comprising: labeling the identified sentimentally significant documents, in the computer, by including a unique sentiment binding term in the context of the plurality of terms; representing, by the computer, each document in the group of documents in the document sentiment vector space; defining, by the computer, a region of sentimental significance in the document sentiment vector space based on an occurrence of document representations for the identified sentimentally significant documents with the unique sentiment binding term; receiving, by the computer, a query string; and assessing, by the computer, the sentimentality of the query string by comparing a representation of the query string for semantic similarity to the region of sentimental significance in the document sentiment vector space.