The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 03, 2023

Filed:

Feb. 19, 2021
Applicant:

University of Southern California, Los Angeles, CA (US);

Inventors:

Shrikanth Narayanan, Los Angeles, CA (US);

Victor Martinez Palacios, Los Angeles, CA (US);

Anil Ramakrishna, Los Angeles, CA (US);

Krishna Somandepalli, Los Angeles, CA (US);

Nikolaos Malandrakis, Los Angeles, CA (US);

Karan Singla, Los Angeles, CA (US);

Assignee:

University of Southern California, Los Angeles, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 17/18 (2006.01); G06F 16/31 (2019.01); G06F 16/35 (2019.01); G06F 40/169 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/313 (2019.01); G06F 16/353 (2019.01); G06F 17/18 (2013.01); G06F 40/169 (2020.01);
Abstract

A computer implemented method for analyzing media content includes a step of providing a plurality of narrative files formatted in human readable format. Each narrative file includes a script and/or dialogues tagged with character names along with auxiliary information. Each script includes a plurality of portrayals performed by an associated actor or character. Linguistic representations of content of the narrative files in both abstract and semantic forms is determined. The linguistic representations are connected to higher order representations and mental states. The linguistic representations are connected to behavior and action. Interplay between language constructs and demographics of content creators is analyzed. Content representations towards individuals/groups are adapted to reflect heterogeneity in preferences.


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