At&t Intellectual Property I, LP

Nisha Shahul Hameed

Ann Eileen Skudlark

Lien K Tran

Appavu Siva Prakasam

Sanjeev Misra

Siva Kolachina

Prashanth Boddhireddy

Jenq-Chyuan Wang

Aspects of the subject disclosure may include, for example, determining classes from a corpus based on topic modeling, data clustering and unsupervised learning. Labels are determined for each of the classes and trained models are generated for each of the classes by assignment of a plurality of textual documents to labels based on a highest number of matches. A raw textual document can be tokenized and stop words removed. A corresponding one of the trained models can be selected according to a class that is applicable to subject matter of the raw textual document. The processed document can be assigned to a target label based on a highest number of matches of words. Other embodiments are disclosed.

Method and apparatus for labeling data

Growing community of inventors

Bellevue, WA, United States of America

Nisha Shahul Hameed