System, method, and computer program for determining information associated with an extracted portion of content
View Patent ↗A system, method, and computer program product are provided for determining information associated with an extracted portion of content. In use, a user is identified. Additionally, content generated by the user is identified. Additionally, a portion of the content is extracted. Further, information associated with the extracted portion of the content is determined. Further still, the determined information is added to a profile of the user. Also, an action is initiated, based on the profile of the user.
1. A computer program embodied on a non-transitory computer readable storage medium, comprising:
computer code for extracting one or more uniform resource locators (URLs) from user content generated by a user;
computer code for analyzing web content found within each of the one or more web pages located at the one or more URLs to determine one or more categories associated with each of the one or more web page;
computer code for assigning the determined categories to each of the one or more web pages;
computer code for assigning a weight to one or more of the categories associated with each of the one or more web pages, where the weight is based on a popularity of the one or more categories within each of the one or more web pages;
computer code for assigning a sentiment score each of the one or more categories associated with each of the one or more web pages, where the sentiment score indicates a positive or negative attitude toward each of the one or more categories within each of the associated one or more web pages;
computer code for adding the one or more determined categories and the assigned one or more weights and sentiment scores to a profile of the user;
computer code for matching the profile of the user to a predefined topic; and
computer code for sending content associated with the predefined topic to the user, based on the matching.
2. The computer program of claim 1 , wherein the content generated by the user includes micro-blog content.
3. The computer program of claim 1 , wherein the content generated by the user includes one or more of social networking and social media content.
4. The computer program of claim 1 , wherein the content generated by the user includes web browsing content.
5. The computer program of claim 1 , further comprising determining one or more topics within the one or more categories.
6. The computer program of claim 1 , wherein the one or more categories assigned to each of the one or more web sites describe one or more elements found within each of the one or more web sites.
7. The computer program of claim 1 , wherein a positive sentiment score indicates the positive attitude toward the associated category within the web page, and a negative sentiment score indicates the negative attitude toward the associated category within the web page.
8. The computer program of claim 1 , wherein adding the one or more determined categories and the assigned one or more weights and sentiment scores to the profile of the user includes storing the one or more determined categories and the assigned one or more weights and sentiment scores in a database and associating the one or more determined categories and the assigned one or more weights and sentiment scores with the user's profile within the database.
9. A method, comprising:
extracting one or more uniform resource locators (URLs) from user content generated by a user;
analyzing web content found within each of the one or more web pages located at the one or more URLs to determine one or more categories associated with each of the one or more web pages;
assigning the determined categories to each of the one or more web pages;
assigning a weight to one or more of the categories associated with each of the one or more web pages, where the weight is based on a popularity of the one or more categories within each of the one or more web pages;
assigning a sentiment score each of the one or more categories associated with each of the one or more web pages, where the sentiment score indicates a positive or negative attitude toward each of the one or more categories within each of the associated one or more web pages;
adding the one or more determined categories and the assigned one or more weights and sentiment scores to a profile of the user;
matching the profile of the user to a predefined topic; and
sending content associated with the predefined topic to the user, based on the matching.
10. A system, comprising:
a processor for:
extracting one or more uniform resource locators (URLs) from user content generated by a user;
analyzing web content found within each of the one or more web pages located at the one or more URLs to determine one or more categories associated with each of the one or more web pages;
assigning the determined categories to each of the one or more web pages;
assigning a weight to one or more of the categories associated with each of the one or more web pages, where the weight is based on a popularity of the one or more categories within each of the one or more web pages;
assigning a sentiment score each of the one or more categories associated with each of the one or more web pages, where the sentiment score indicates a positive or negative attitude toward each of the one or more categories within each of the associated one or more web pages;
adding the one or more determined categories and the assigned one or more weights and sentiment scores to a profile of the user;
matching the profile of the user to a predefined topic; and
sending content associated with the predefined topic to the user, based on the matching.
11. The system of claim 10 , wherein the processor is coupled to memory via a bus.