Patent ID: 7792841

Claim:
A computer-implemented method for extraction and summarization of sentiment information contained in sources of information that is related to a particular research subject, comprising: using a processor to access said sources of information that contain said sentiment information that is related to a plurality of research subject, said sentiment information comprises textually recorded information that characterize a user's opinion related to said research subject; simultaneously extracting said sentiment information from said sources of information as opinions related to the plurality of research subjects said research subject based on model parameters and text extracting rules; identifying opinion categories related to features of said particular research subject based upon a determined magnitude of the number of opinions obtained that are related to said opinion categories; generating a summarization of said sentiment information that comprises said opinion categories; providing access to said summarization of said sentiment information for graphical presentation; updating said model parameters and said text extracting rules based on an offline training process and feedback from users, comprising: identifying sentimental information within tagged training sets and untagged training sets; identifying polarity characterizations of the sentimental information within the tagged training set; updating opinion categories based on the identified polarity characterizations and the feedback from users; updating said model parameters and said text extracting rules based on the identified polarity characterization; and accessing said updated model parameters and text extracting rules for use in extraction and summarization of said sentiment information.