Extraction and summarization of sentiment information
First Claim
1. 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.
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Accused Products
Abstract
Methods and systems for extraction and summarization of sentiment information related to a particular research subject are disclosed. A method includes accessing sources of information that contain sentiment information that is related to the research subject and extracting the sentiment information from the sources of information as opinions related to the research subject. Opinion categories related to features of the research subject are identified. From this information a summarization of the sentiment information that is related to the particular research subject that includes the identified opinion categories is generated. Subsequently, access is provided to the summarization for graphical presentation.
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Citations
18 Claims
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1. 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:
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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. - View Dependent Claims (2, 3, 4, 5, 18)
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6. A computer-readable storage medium having computer-executable instructions for performing extraction and summarization of sentiment information contained in sources of information that is related to a particular research subject comprising:
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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. - View Dependent Claims (7, 8, 9, 10, 11)
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12. An apparatus comprising:
- a processor for executing a 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. - View Dependent Claims (13, 14, 15, 16, 17)
- a processor for executing a method for extraction and summarization of sentiment information contained in sources of information that is related to a particular research subject, comprising;
Specification