Patents by Inventor Jenq-Chyuan Wang

Jenq-Chyuan Wang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • METHOD AND APPARATUS FOR LABELING DATA
    Publication number: 20220277351
    Abstract: 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.
    Type: Application
    Filed: May 20, 2022
    Publication date: September 1, 2022
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Sanjeev Misra, Appavu Siva Prakasam, Ann Eileen Skudlark, Siva Kolachina, Nisha Shahul Hameed, Prashanth Boddhireddy, Lien Tran, Jenq-Chyuan Wang
  • Method and apparatus for labeling data
    Patent number: 11386463
    Abstract: 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.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: July 12, 2022
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Sanjeev Misra, Appavu Siva Prakasam, Ann Eileen Skudlark, Siva Kolachina, Nisha Shahul Hameed, Prashanth Boddhireddy, Lien Tran, Jenq-Chyuan Wang
  • PROVIDING CUSTOMER CARE BASED ON ANALYSIS OF CUSTOMER CARE CONTACT BEHAVIOR
    Publication number: 20220172219
    Abstract: A method, computer-readable medium, and apparatus for providing customer care for customers are disclosed.
    Type: Application
    Filed: November 30, 2020
    Publication date: June 2, 2022
    Inventors: Wen-Ling Hsu, Guang-Qin Ma, Guy Jacobson, Jenq-Chyuan Wang, Tan Xu, Kevin McDorman, Brian Economaki, Shuai Zhao
  • METHOD AND APPARATUS FOR LABELING DATA
    Publication number: 20210182912
    Abstract: 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.
    Type: Application
    Filed: May 5, 2020
    Publication date: June 17, 2021
    Applicants: AT&T Intellectual Property I, L.P., Xandr Inc.
    Inventors: Sanjeev Misra, Appavu Siva Prakasam, Ann Eileen Skudlark, Siva Kolachina, Nisha Shahul Hameed, Prashanth Boddhireddy, Lien Tran, Jenq-Chyuan Wang