Mitchell J Brooks

US Patent:

20140012855, Jan 9, 2014

Filed:

Mar 14, 2013

Appl. No.:

13/804096

Inventors:

Mitchell Brooks - Boston MA, US
Christopher Bingham - Cambridge MA, US
Gary King - Brookline MA, US

Assignee:

CRIMSON HEXAGON, INC. - Boston MA

International Classification:

G06F 17/30

US Classification:

707740

Abstract:

Systems and methods are provided for classifying text based on language using one or more computer servers and storage devices. A computer-implemented method includes receiving a training set of elements, each element in the training set being assigned to one of a plurality of categories and having one of a plurality of content profiles associated therewith; receiving a population set of elements, each element in the population set having one of the plurality of content profiles associated therewith; and calculating using at least one of a stacked regression algorithm, a bias formula algorithm, a noise elimination algorithm, and an ensemble method consisting of a plurality of algorithmic methods the results of which are averaged, based on the content profiles associated with and the categories assigned to elements in the training set and the content profiles associated with the elements of the population set, a distribution of elements of the population set over the categories.

US Patent:

20170046630, Feb 16, 2017

Filed:

Oct 28, 2016

Appl. No.:

15/336963

Inventors:

- Boston MA, US
Mitchell Brooks - Boston MA, US
Christopher Bingham - Cambridge MA, US
Gary King - Brookline MA, US

International Classification:

G06N 99/00
G06F 17/30

Abstract:

Systems and methods are provided for classifying text based on language using one or more computer servers and storage devices. A computer-implemented method includes receiving a training set of elements, each element in the training set being assigned to one of a plurality of categories and having one of a plurality of content profiles associated therewith; receiving a population set of elements, each element in the population set having one of the plurality of content profiles associated therewith; and calculating using at least one of a stacked regression algorithm, a bias formula algorithm, a noise elimination algorithm, and an ensemble method consisting of a plurality of algorithmic methods the results of which are averaged, based on the content profiles associated with and the categories assigned to elements in the training set and the content profiles associated with the elements of the population set, a distribution of elements of the population set over the categories.

US Patent:

20160189171, Jun 30, 2016

Filed:

Dec 30, 2014

Appl. No.:

14/585514

Inventors:

- Boston MA, US
Aykut Firat - Cambridge MA, US
Mitchell Brooks - Boston MA, US
Francesco Liuzzi - Boston MA, US
Avery Faller - Boston MA, US
Pablo Funes - Cambridge MA, US

International Classification:

G06Q 30/02
G06Q 50/00

Abstract:

Systems and methods are provided for analyzing social media content. In exemplary embodiments, the invention can include obtaining a plurality of data items communicated through at least one social media platform over a time interval, with each data item from the plurality of data items being associated with a time value within the time interval; analyzing at least a subset of the plurality of data items to assign each data item from the subset to a respective category from a plurality of categories; and generating for at least one category from the plurality of categories, a representation of data items assigned to the at least one category as a function of time over the time interval for presenting via a user interface.

US Patent:

20160191447, Jun 30, 2016

Filed:

Dec 30, 2014

Appl. No.:

14/585415

Inventors:

- Boston MA, US
Mitchell Brooks - Boston MA, US
Christopher Bingham - Cambridge MA, US
Francesco Liuzzi - Boston MA, US

International Classification:

H04L 12/58

Abstract:

Systems and methods are provided for analyzing people's interests, based on signals available within social media. In general, the systems and methods can include determining interests for a group of people that differentiate the group from another group. First, topics of interest for each individual can be calculated based on topics associated with their activity on social media websites and topics associated with people in their social media network. The interest topics of people in a first group can be compared to the interest topics of people in a second group to determine which interest topics have a high affinity for one group but not the other. The invention can further provide for visualization of the topic distribution between the two groups, which can include illustrations of the number of people in each group who are interested in a plurality of topics and/or the prevalence of each of the plurality of topics in the first group relative to the second group.

US Patent:

20160070748, Mar 10, 2016

Filed:

Sep 4, 2015

Appl. No.:

14/846148

Inventors:

- Boston MA, US
Mitchell Brooks - Boston MA, US
Christopher Bingham - Cambridge MA, US
Francesco Liuzzi - Boston MA, US

Assignee:

Crimson Hexagon, Inc. - Boston MA

International Classification:

G06F 17/30

Abstract:

Improved searching of digital content using a large corpus of content collected from content generating websites is described. A search query received from a user is compared to the collected content to determine how often the elements of the search query are repeated in the collected content and whether these elements have frequently co-occurred with other elements in the content. Co-occurring elements are presented to the user so that the user can select one or more elements that best describe her intent in conducting the search. An updated search query is formed based on the information received from the user. The updated query is used to retrieve a number of documents and the retrieved documents are classified to distinguish relevant documents from those irrelevant to the user's intent. Documents classified as relevant are presented to the user.

Author:

Mitchell Brooks

ISBN #:

0960729860