Social Analytics
AssigneeQatar Foundation
InventorsSihem AMERI-YAHIA, Samnel Ross Madden, Adam Marcus
Life of this patent
Estimating the term…
Abstract
A computer-implemented method, comprises extracting a measure from a content article representing a probability that the article relates to a topic, allocating the article to a group of articles relating to at least one topic on the basis of the measure, using a set of social media objects relating to the article to extract a measure representing a sentiment for the article, and aggregating respective measures for the sentiment of articles in the group to provide an aggregate measure.
Claims17
A computer-implemented method, comprising:
- extracting a measure from a content article representing a probability that the article relates to a topic;
- allocating the article to a group of articles relating to at least one topic on the basis of the measure;
- using a set of social media objects relating to the article to extract a measure representing a sentiment for the article;
- and
- aggregating respective measures for the sentiment of articles in the group to provide an aggregate measure.
A system comprising:
- a topic extraction engine to extract a measure from a content article representing a probability that the article relates to a topic;
- a sentiment extraction module to extract a measure representing sentiment for the article;
- an activity frequency module to receive input representing a date and to extract an article from a set of articles that received at least one comment that day.
A computer program embedded on a non-transitory tangible computer readable storage medium, the computer program including machine readable instructions that, when executed by a processor, implement a method comprising:
- extracting a measure from a content article representing a probability that the article relates to a topic;
- allocating the article to a group relating to at least one topic wherein a topic signature for the article derived from the probability lies within a predetermined range of a similarity measure for the group;
- using a set of social media objects relating to the article to extract a measure representing a sentiment for the article;
- and
- aggregating respective measures for the sentiment of articles in the group to provide an aggregate measure.
Dependencies are inferred from the claim text.