Patent Document ID: 8868469
Application ID: 12775547

Base Claim:
1. A method of identifying phrases in an electronic document comprising: identifying one or more phrase candidates in the electronic document; selecting one of the phrase candidates; numerically representing features of the selected phrase candidates to obtain a numeric feature representation associated with that phrase candidate by: identifying, from a predetermined dictionary map which maps words to unique numbers, the number associated with each word in the selected phrase candidate; and including the identified number associated with each word in the numeric feature representation; inputting the numeric feature representation into a machine learning classifier, the machine learning classifier being configured to determine, based on each numeric feature representation, that the phrase candidate associated with that numeric feature representation is a phrase, wherein identifying phrase candidates in the electronic document comprises identifying word level n-grams in the document; and associating the electronic document with a label identifying the subject matter of the electronic document, wherein the label is based on the phrase.

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Claim 7:
7. The method of claim 1 further comprising, prior to identifying: training the machine learning classifier with training data, the training data including one or more electronic training documents and one or more phrase labels which identify one or more phrases in the electronic training documents.