11. The method of claim 1 , wherein the query string is a document having a document publication date and comprises of a plurality of document terms and assessing the sentimentality of the a query string, by the computer, by comparing a representation of the query string for semantic similarity to the region of sentimental significance in the document sentiment vector space further comprises: creating a query term vector as the representation of the query string for the query string from a vector sum of query term vectors from a term-by-concepts matrix, for each of the plurality of terms co-occurring in the query string and the term-by concepts matrix; and comparing the query term vector for semantic similarity to the region of sentimental significance in the document sentiment vector space.
11. The method of claim 1 , wherein the query string is a document having a document publication date and comprises of a plurality of document terms and assessing the sentimentality of the a query string, by the computer, by comparing a representation of the query string for semantic similarity to the region of sentimental significance in the document sentiment vector space further comprises: creating a query term vector as the representation of the query string for the query string from a vector sum of query term vectors from a term-by-concepts matrix, for each of the plurality of terms co-occurring in the query string and the term-by concepts matrix; and comparing the query term vector for semantic similarity to the region of sentimental significance in the document sentiment vector space. 12. The method of claim 11 , further comprises: quantizing, by the computer, a sentiment score for the sentimental significance of the query string to the particular topic based on the semantic similarity of the representation of the query string to the region of sentimental significance in the document sentiment vector space, wherein the sentiment score being indicative of the sentimental significance of a contemporaneous publication toward the particular topic.