SYSTEM AND METHOD TO COLLECT DATA TO QUANTIFY SENTIMENT OF USERS AND PREDICT OBJECTIVE OUTCOMES

• US 20200134647A1
• Filed: 12/17/2019
• Published: 04/30/2020
• Est. Priority Date: 12/17/2019
• Status: Active Application

• Current Assignee: Redlotus Limited
• Original Assignee: Redlotus Limited
• Inventors: Chahal, Gurbaksh
• Application Number:
  US16/717,845
• Publication Number:
  US 20200134647A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 40/00 Handling natural language data speech analysis or synthesis, speech recognition G10L
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Disclosed is a system and method to collect data from a plurality of data sources to quantify the sentiment of users and predict objective outcomes. The method includes the step of collecting sentiment data from the first data sources associated with the user to determine an opinion of the user pertaining to products, and services through a sentiment analysis module. The method includes the step of collecting action data from the second data sources associated with the user to determine the behavior of the user through a behavioral analysis module. The second data sources include social media platforms, digital shopping platforms, and native applications. The method includes the step of collecting demographic data of the user from the third data sources to determine the profile of the user through a demographic profiling module. The third data source comprising a telecom server. The method includes the step of storing and analyzing data pertaining to the determined opinion of the user, determined behavior of the user, and determined profile of the user and computing a user profile value through a server. The method includes the step of presenting a persistent view of the analyzed data corresponding to the user through a user interface connected to a central computing device that configures the server with the telecom server.

Claims

1. A system to collect data from a plurality of data sources to quantify sentiment of one or more users and predict one or more objective outcomes, the system comprising:

a processor;

a memory communicatively coupled to the processor, wherein the memory stores instructions executed by the processor, wherein the memory comprising;

a sentiment analysis module to collect sentiment data from the first data sources associated with the user to determine an opinion of the user pertaining to at least one of one or more products, and one or more services, wherein the first data sources comprising a plurality of websites;

a behavioral analysis module to collect action data from the second data sources associated with the user to determine behavior of the user, wherein the second data sources comprising one or more social media platforms, one or more digital shopping platforms, and one or more native applications; and

a demographic profiling module to collect demographic data of the user from the third data sources to determine profile of the user, wherein the third data sources comprising a telecom server; and

a server to store and analyze data pertaining to the determined opinion of the user, determined behavior of the user, and determined profile of the user and computes a user profile value; and

a central computing device to configure the server with the telecom server and presents a persistent view of the analyzed data corresponding to the user through a user interface.

2. The system according to claim 1, wherein the telecom server appends an identification number corresponding to a computing device of the user to at least one of a user-agent request header, a uniform resource locator (URL) parameter, and one or more HyperText Transfer Protocol (HTTP) protocol requests for a plurality of outgoing traffic, wherein the identification number comprises a Mobile Station International Subscriber Directory Number (MSISDN).

3. The system according to claim 1, wherein the telecom server comprising a user profiling data server.

4. The system according to claim 1, wherein the central computing device reads the identification number from an advertisement request received from the user-agent request header and transmits the reading value to the server.

5. The system according to claim 1, wherein the server establishes a communication with the user profiling data server to retrieve one or more advertisement campaigns based on the user profile value and predicts the objective outcome indicative to the advertisements relevant to the users.

6. The system according to claim 1, wherein the action data of the user is indicative to at least one of one or more locations data of the user, one or more purchases data of the user, and one or more expenses data of the user.

7. The system according to claim 1, wherein the profile of the user indicative to at least one of a marital status data of the user, an income data of the user, a birth data of the user, and an ethnicity data of the user.

8. A method to collect data from a plurality of data sources to quantify sentiment of one or more users and predict one or more objective outcomes, the method comprises steps of:

collecting, by a data collection and sentiment quantification device, sentiment data from the first data sources associated with the user to determine an opinion of the user pertaining to at least one of one or more products, and one or more services through a sentiment analysis module, wherein the first data sources comprising a plurality of web sites;

collecting, by the data collection and sentiment quantification device, action data from the second data sources associated with the user to determine behavior of the user through a behavioral analysis module, wherein the second data sources comprising one or more social media platforms, one or more digital shopping platforms, and one or more native applications;

collecting, by the data collection and sentiment quantification device, demographic data of the user from the third data sources to determine profile of the user through a demographic profiling module, wherein the third data sources comprising a telecom server;

storing and analyzing data, by the data collection and sentiment quantification device, pertaining to the determined opinion of the user, determined behavior of the user, and determined profile of the user and computing a user profile value through a server; and

presenting, by the data collection and sentiment quantification device, a persistent view of the analyzed data corresponding to the user through a user interface connected to a central computing device that configures the server with the telecom server.

9. The method according to claim 8, wherein the telecom server appends an identification number corresponding to a computing device of the user to at least one of a user-agent request header, a uniform resource locator (URL) parameter, and one or more HyperText Transfer Protocol (HTTP) protocol requests for a plurality of outgoing traffic, wherein the identification number comprises a Mobile Station International Subscriber Directory Number (MSISDN).

10. The method according to claim 8, wherein the telecom server comprising a user profiling data server.

11. The method according to claim 8, wherein the central computing device reads the identification number from an advertisement request received from the user-agent request header and transmits the reading value to the server.

12. The method according to claim 8, wherein the server establishes a communication with the user profiling data server to retrieve one or more advertisement campaigns based on the user profile value and predicts the objective outcome indicative to the advertisements relevant to the users.

13. The method according to claim 8, wherein the action data of the user is indicative to at least one of one or more locations data of the user, one or more purchases data of the user, and one or more expense data of the user.

14. The method according to claim 8, wherein the profile of the user indicative to at least one of a marital status data of the user, an income data of the user, a birth data of the user, and an ethnicity data of the user.