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:
Jun. 16, 2020

Filed:

Jan. 04, 2018
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Jonathan Michael Arfa, New York, NY (US);

Nikhil Girish Nawathe, New York, NY (US);

Bryan Kauder, New York, NY (US);

Shriram Subramanian, New York, NY (US);

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06F 40/295 (2020.01); H04L 12/58 (2006.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/295 (2020.01); G06N 20/00 (2019.01); H04L 51/32 (2013.01);
Abstract

In one embodiment, a method includes receiving a request to generate a visualization of public sentiments regarding a particular subject by a plurality of clusters, where each cluster includes a plurality of words semantically close to each other, constructing a first corpus of text by collecting text containing the input n-gram from a plurality of user-created content objects in the online social network, identifying a list of unique n-grams appearing in the first corpus of text, generating a table comprising unique n-grams in the list and their corresponding word vectors using a word embedding model, classifying word vectors in the table into a plurality of clusters based on semantic similarities of the word vectors, and sending, as a response to the request, instructions to display n-grams in the table in a two-dimensional display space, where n-grams corresponding to word vectors that belong to a cluster are displayed together.


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