It is very likely that you have a namesake who is very distinct from your personality. To disambiguate you two, a new method has been developed that can tell you from your namesake.<\/p>\n
\nThis ambiguity often occurs in bibliographic, law enforcement and other areas.<\/p>\n
Computer scientists from the Indiana University-Purdue University Indianapolis (IUPUI) have developed a novel machine-learning method to provide better solutions to this perplexing problem.<\/p>\n
“We can teach the computer to recognise names and disambiguate information accumulated from a variety of sources — Facebook, Twitter and blog posts, public records and other documents — by collecting features such as Facebook friends and keywords from people’s posts using the identical algorithm,” explained Mohammad al Hasan, Associate Professor, IUPUI.<\/p>\n
The new method, unlike the existing methods, can perform non-exhaustive classification so that it can tell whom a new record, which appears in streaming data, belongs to.<\/p>\n
“Our method grows and changes when new persons appear, enabling us to recognise the ever-growing number of individuals whose records were not previously encountered. While working in non-exhaustive setting, our model automatically detects such names and adjusts the model parameters accordingly,” added Hasan.<\/p>\n
The researchers trained computers by using records of different individuals with that name to build a model that distinguishes between individuals with that name, even individuals about whom information had not been included in the training data previously provided to the computer.<\/p>\n
The researchers focused on three types of “features” — bits of information with some degree of predictive power to define a specific individual.<\/p>\n
“Relational or association features to reveal persons with whom an individual is associated; text features, such as keywords in documents; and venue features to determine memberships or events with which an individual is currently or was formerly associated,” the study noted.<\/p>\n
The study was published in proceedings of the 25th International Conference on Information and Knowledge Management.\u2014IANS<\/p>\n
Image: Alamy<\/p>\n","protected":false},"excerpt":{"rendered":"
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