# US 12,008,609 B2 · Method and system for initiating an interface concurrent with generation of a transitory sentiment community > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,008,609 B2 - Document ID: US12008609B2 - Status: Granted - Kind: B2 - Application number: 17/585,657 - Filed: 2022-01-27 - Published: 2022-05-12 - Granted: 2024-06-11 - Earliest claimed: 2018-12-11 - Applicants: Hiwave Technologies Inc. - Inventors: Vaibhav Bhan; Joe Lai - Web page: https://patentgrep.com/patent/US12008609B2 ## CPC - G06Q 30/0282: Rating or review of business operators or products - G06Q 30/0203: Market surveys; Market polls - G06Q 30/0204: Market segmentation - H04L 67/535: {Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34)} - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract A method and system of initiating a subscriber interface at a client subscriber device coupled to a server device. The method comprises receiving, at a memory of the server computing device, a specification identifying at least one sentiment parameter in association with the subscriber computing device, the at least one sentiment parameter being related to a sarcasm sentiment, identifying, within social media content data received at the server computing device, content associated with a subject of interest, the subject of interest defined in accordance with at least one text character string, modifying, upon detecting the sarcasm sentiment within the content associated with the subject of interest as being one of above and below a sarcasm sentiment likelihood threshold, a sentiment classification associated with the at least one sentiment parameter and transmitting, to the subscriber computing device, a notification of the at least one sentiment parameter and the modified sentiment classification. ## Claims ### Claim 1 A method of Initiating a subscriber interface at a subscriber computing device coupled to a server computing device in a communication network, the method comprising: identifying, based at least in part upon a semantic similarity analysis performed in a processor of the server computing device, content associated with a subject of interest defined in accordance with at least one text character string, the content being included within social media content data received at the server computing device; detecting, based on monitoring, by a sentiment parameter task automaton concurrent with execution of a sentiment community software application in the processor, at least one sarcasm sentiment parameter within the content as being one of above and below a sarcasm sentiment likelihood threshold; responsive to the detecting, modifying, based at least in part upon accessing, by the processor, a linguistic framework that includes a sarcasm identification component stored in a memory of the server computer device, a sentiment classification associated with the at least one sarcasm sentiment parameter; and responsive to the modifying, initiating, at the subscriber computing device, a subscriber interface that includes a notification of the modified sentiment classification. ### Claim 2 (depends on 1) The method of claim 1 wherein the social media content comprises one or more of: a hashtag, a twitter handle, an emoticon, at least a portion of a website content, a product brand name, a product feature, a message exchange, an image, a video portion, and a text string produced via a speech to text conversion of at least a portion of an audio file source. ### Claim 3 (depends on 2) The method of claim 2 wherein the notification comprises identification of at least one author associated with the at least one sarcasm sentiment parameter. ### Claim 4 (depends on 2) The method of claim 2 wherein the notification includes a solicitation of a user input action performed at the subscriber interface. ### Claim 5 (depends on 4) The method of claim 4 wherein the solicitation relates to at least one of an approval, a dis-approval, an acknowledgement of the notification of the at least one sarcasm sentiment parameter, a replacement of the at least one sarcasm sentiment parameter and a modification of at least one of a threshold value and a threshold condition associated with the at least one sarcasm sentiment parameter. ### Claim 6 (depends on 5) The method of claim 5 wherein data of the user input action, when performed at a display user interface of the subscriber computing device in response to the solicitation, is transmitted to the memory of the server computing device. ### Claim 7 (depends on 6) The method of claim 6 further comprising updating, in the memory of the server computing device, a specification relating to a sentiment parameter in accordance with the data of the user input action. ### Claim 8 (depends on 1) The method of claim 1 wherein the modifying comprises replacing the sentiment classification with one of a contrary and an opposite sentiment classification. ### Claim 9 (depends on 8) The method of claim 8 wherein the subject of interest is associated with a product review, and the modifying comprises replacing one of a positive and a negative sentiment classification with another of the positive and the negative sentiment classification. ### Claim 10 (depends on 8) The method of claim 8 wherein the subject of interest is associated with a review of services, and the modifying comprises replacing one of a positive and a negative sentiment classification with another of the positive and the negative sentiment classification. ### Claim 11 A server computing system coupled to at least one subscriber computing device in a communication network, the server computing system comprising: a processor; a memory storing a set of instructions, the instructions when executed in the processor causing operations comprising: identifying, based at least in part upon a semantic similarity analysis performed in the processor, content associated with a subject of interest defined in accordance with at least one text character string, the content being included within social media content data received at the server computing device; detecting, based on monitoring by a sentiment parameter task automation concurrent with execution of a sentiment community software application in the processor, at least one sarcasm sentiment parameter within the content as being one of above and below a sarcasm sentiment likelihood threshold; responsive to the detecting, modifying, based at least in part upon accessing, by the processor, a linguistic framework that includes a sarcasm identification component stored in the memory, a sentiment classification associated with the at least one sarcasm sentiment parameter; and responsive to the modifying, initiating, at the subscriber computing device, a subscriber interface that includes a notification of the modified sentiment classification. ### Claim 12 (depends on 11) The server computing system of claim 11 wherein the social media content comprises one or more of: a hashtag, a twitter handle, an emoticon, at least a portion of a website content, a product brand name, a product feature, a message exchange, an image, a video portion, and a text string produced via a speech to text conversion of at least a portion of an audio file source. ### Claim 13 (depends on 12) The server computing system of claim 12 wherein the notification comprises identification of at least one author associated with the at least one sarcasm sentiment parameter. ### Claim 14 (depends on 12) The server computing system of claim 12 wherein the notification includes a solicitation of a user input action performed at the subscriber interface. ### Claim 15 (depends on 14) The server computing system of claim 14 wherein the solicitation relates to at least one of an approval, a dis-approval, an acknowledgement of the notification of the at least one sarcasm sentiment parameter, a replacement of the at least one sarcasm sentiment parameter and a modification of at least one of a threshold value and a threshold condition associated with the at least one sarcasm sentiment parameter. ### Claim 16 (depends on 15) The server computing system of claim 15 wherein data of the user input action, when performed at a display user interface of the subscriber computing device in response to the solicitation, is transmitted to the memory of the server computing device. ### Claim 17 (depends on 16) The server computing system of claim 16 further comprising updating, in a memory of the server computing system, a specification related to a sentiment parameter in accordance with the data of the user input action. ### Claim 18 (depends on 11) The server computing system of claim 11 wherein the modifying comprises replacing the sentiment classification with one of a contrary and an opposite sentiment classification. ### Claim 19 (depends on 18) The server computing system of claim 18 wherein the subject of interest is associated with a product review, and the modifying comprises replacing one of a positive and a negative sentiment classification with another of the positive and the negative sentiment classification. ### Claim 20 A non-transitory computer readable medium storing instructions, the instructions being executable in a processor, the instructions when executed in the processor causing operations comprising: identifying, based at least in part upon a semantic similarity analysis performed in a processor of the server computing device, content associated with a subject of interest defined in accordance with at least one text character string, the content being included within social media content data received at a server computing device; detecting, based on monitoring by a sentiment parameter task automaton concurrent with execution of a sentiment community software application in the processor, at least one sarcasm sentiment parameter within the content as being one of above and below a sarcasm sentiment likelihood threshold; responsive to the detecting, modifying, based at least in part upon accessing, by the processor, a linguistic framework that includes a sarcasm identification component stored in a memory of the server computing device, a sentiment classification associated with the at least one sarcasm sentiment parameter; and responsive to the modifying, initiating, at the subscriber computing device, a subscriber interface that includes a notification of the modified sentiment classification.