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US Patent 10509863 Consumer insights analysis using word embeddings

Patent 10509863 was granted and assigned to Facebook on December, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

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Patent Applicant
Facebook
Facebook
Current Assignee
Facebook
Facebook
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10509863
Date of Patent
December 17, 2019
Patent Application Number
15862059
Date Filed
January 4, 2018
Patent Citations Received
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US Patent 11960846 Embedding inference
0
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US Patent 10949456 Method and system for mapping text phrases to a taxonomy
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US Patent 11715134 Content compliance system
0
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US Patent 11836447 Word embedding for non-mutually exclusive categorical data
0
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US Patent 11526333 Graph outcome determination in domain-specific execution environment
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US Patent 11238240 Semantic map generation from natural-language-text documents
Patent Primary Examiner
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Andrew C Flanders
Patent abstract

In one embodiment, a method includes receiving a request to generate a two-dimensional visualization of public sentiments regarding a particular subject, where the request includes an input n-gram representing the particular subject, 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, condensing the d-dimensional word vectors in the table into a two-dimensional word vectors; and sending, as a response to the request, instructions to display n-grams in the table on a two-dimensional display space, where each n-gram is placed at a location of the corresponding condensed word vector.

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