WO2024089675A1 - Ai software-social media and online news media data analyst - Google Patents

Ai software-social media and online news media data analyst Download PDF

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Publication number
WO2024089675A1
WO2024089675A1 PCT/IB2023/060959 IB2023060959W WO2024089675A1 WO 2024089675 A1 WO2024089675 A1 WO 2024089675A1 IB 2023060959 W IB2023060959 W IB 2023060959W WO 2024089675 A1 WO2024089675 A1 WO 2024089675A1
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Prior art keywords
data
analysis
module
social media
media
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PCT/IB2023/060959
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French (fr)
Inventor
Hossein SADEGHI
Mahboubeh BAHADORPOUR
Original Assignee
Sadeghi Hossein
Bahadorpour Mahboubeh
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sadeghi Hossein, Bahadorpour Mahboubeh filed Critical Sadeghi Hossein
Priority to PCT/IB2023/060959 priority Critical patent/WO2024089675A1/en
Publication of WO2024089675A1 publication Critical patent/WO2024089675A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0282—Rating or review of business operators or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40—Document-oriented image-based pattern recognition
    • G06V30/41—Analysis of document content

Definitions

  • the present invention pertains to artificial intelligence (AI), and more specifically, to systems and methods for analyzing data from social media and online news media platforms.
  • AI artificial intelligence
  • the information and Data are Automation
  • this Innovation can other social media sources, represented by news/media corpus, in as close to real-time as possible.
  • Quantitative analysis, techniques, or mathematics, such as green scoring/composite module and sentiment processing module are processed to arrive at green scores, green certification, and/or model the value of financial securities, including generating a composite environmental or green index and
  • Our patent analyzes the information with AI and knows about all of the documents and Language it's very different
  • the present invention is an AI-based system that innovatively tackles the problem of analyzing voluminous data from social media and online news platforms.
  • the system utilizes advanced machine learning algorithms to efficiently process, analyze, and present the results in a manner that is comprehensive and user-friendly.
  • the system offers an optimal solution to the limitations of conventional methods of social media and online news data analysis, notably the issues of time consumption, inaccuracy, and lack of scalability.
  • the AI-based system operates on a unique architectural design consisting of four primary modules: Data Collection, Data Processing, AI Analysis, and Results Presentation modules. Each module plays a crucial role in the system, ensuring speed, accuracy, and scalability.
  • the Data Collection Module is the first step in the system's operation. It is designed to gather data from various online media platforms.
  • the module employs web scraping techniques to extract relevant content based on predefined criteria, such as keywords, hashtags, geo-tags, user interactions, and other metrics. This module ensures the system has a rich and diverse pool of data to analyze, making it capable of delivering comprehensive insights.
  • the Data Processing Module follows, with the task of cleaning and pre-processing the collected data to prepare it for analysis.
  • the module identifies and removes irrelevant or redundant information, corrects errors, and formats the data into a structure that the AI Analysis module can interpret. This step is vital for improving the system's efficiency and accuracy, as it ensures only high-quality data is inputted into the AI Analysis module.
  • the AI Analysis Module is the core of the system. It applies sophisticated machine learning algorithms to the processed data. The algorithms are capable of categorizing content into predefined classes, identifying trends and patterns among the data, and determining sentiment based on linguistic cues. The AI Analysis module transforms the raw data into actionable insights, offering users a deep understanding of the content under analysis.
  • the Results Presentation Module is the final stage of the system's operation. It presents the results of the analysis in an accessible and user-friendly format. This module employs data visualization techniques such as graphs, charts, and infographics to display trends, patterns, and sentiments. The visual representations allow users to easily comprehend the results and derive meaningful conclusions.
  • the system also includes a Feedback Loop, an innovative feature that allows for continuous learning and improvement.
  • the Feedback Loop uses the results of the analysis to refine the data collection and processing criteria. By learning from past analyses, the system becomes more accurate and relevant in future analyses. This feature ensures scalability of the system, allowing it to adapt to the ever-evolving landscape of online media.
  • the present invention thus provides an advanced, efficient, and scalable solution for the analysis of data from social media and online news platforms. It is a significant improvement over traditional manual methods, offering speed, accuracy, and adaptability.
  • the technical problem addressed by the invention is the lack of efficient and accurate software that has innovative program methods and systems for analyzing large volumes of social media and online news media data.
  • the invention solves the above problem by using artificial intelligence to automate the collection, analysis, and reporting of social media and online news media data.
  • the system can handle large volumes of data, and the method allows for fast and accurate analysis.
  • the invention provides several advantageous effects, including improved speed, accuracy, and scalability.
  • the system can handle large volumes of data, and the method allows for fast and accurate analysis. This can lead to more informed decisions and strategies for businesses, governments, and other organizations.
  • Figure 1 is the first schematic diagram illustrating an exemplary computer-based system for implementing the present invention
  • Figure 2 is a second schematic diagram illustrating an exemplary computer-based system for implementing the present invention
  • Figure 3 is a search flow diagram illustrating an exemplary method of implementing the present invention
  • the invention includes a system and method for analyzing social media and online news media data.
  • the system includes a data acquisition module, a data analysis module, and a reporting module.
  • the method includes the steps of collecting data, analyzing the data, and generating reports. Detailed descriptions of the system components and method steps are provided.
  • the invention can be used in various industries, including but not limited to, marketing, advertising, public relations, journalism, and government. Any organization that uses social media and online news media data can potentially benefit from the invention.

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Accounting & Taxation (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Game Theory and Decision Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Tourism & Hospitality (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Primary Health Care (AREA)
  • Multimedia (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides a system and method for analyzing social media and online news media data using artificial intelligence. The system includes a data acquisition module for collecting data from various sources, a data analysis module for processing and analyzing the collected data, and a reporting module for generating reports based on the analysis. The method can translate the information into 153 pronunciations and languages so includes the steps of collecting data, analyzing the data, and generating reports. The invention can be used in various industries, including but not limited to, marketing, advertising, public relations, journalism, and government.

Description

AI software -Social Media and Online News Media Data Analyst.
The present invention pertains to artificial intelligence (AI), and more specifically, to systems and methods for analyzing data from social media and online news media platforms.
Existing methods for analyzing data from social media and online news media platforms often rely on manual processes, which can be time-consuming and subject to human error. Furthermore, these methods often fail to adequately capture the complex interactions and trends that can be found in such data. There is, therefore, a need for an improved method and system for analyzing social media and online news media data that is fast, accurate, and capable of handling large volumes of data
According to the AI software analysis, the information and Data are Automation
According to the search in WIPO patent search this Idea has a new Claim and innovation point
  1. SYSTEM AND METHOD FOR CONDUCTING SOCIAL MEDIA INVESTIGATION with document number 202311026343 Published in 2023, The present invention discloses a system for conducting social media online investigation that includes a processor configured to conduct Open Source Intelligence (OSINT] and Social Media Intelligence (SOCMINT investigations, and extract a list of profiles available on one or more social media.
Our patent analyzes the information with AI and knows about all of the documents and Language it's very different
2-METHODS AND SYSTEMS FOR GENERATING COMPOSITE INDEX USING SOCIAL MEDIA SOURCED with document number 10201605262R, published in 2016,
this Innovation can other social media sources, represented by news/media corpus, in as close to real-time as possible. Quantitative analysis, techniques, or mathematics, such as green scoring/composite module and sentiment processing module are processed to arrive at green scores, green certification, and/or model the value of financial securities, including generating a composite environmental or green index and Our patent analyzes the information with AI and knows about all of the documents and Language it's very different
The present invention is an AI-based system that innovatively tackles the problem of analyzing voluminous data from social media and online news platforms. The system utilizes advanced machine learning algorithms to efficiently process, analyze, and present the results in a manner that is comprehensive and user-friendly. The system offers an optimal solution to the limitations of conventional methods of social media and online news data analysis, notably the issues of time consumption, inaccuracy, and lack of scalability.
The AI-based system operates on a unique architectural design consisting of four primary modules: Data Collection, Data Processing, AI Analysis, and Results Presentation modules. Each module plays a crucial role in the system, ensuring speed, accuracy, and scalability.
The Data Collection Module is the first step in the system's operation. It is designed to gather data from various online media platforms. The module employs web scraping techniques to extract relevant content based on predefined criteria, such as keywords, hashtags, geo-tags, user interactions, and other metrics. This module ensures the system has a rich and diverse pool of data to analyze, making it capable of delivering comprehensive insights.
The Data Processing Module follows, with the task of cleaning and pre-processing the collected data to prepare it for analysis. The module identifies and removes irrelevant or redundant information, corrects errors, and formats the data into a structure that the AI Analysis module can interpret. This step is vital for improving the system's efficiency and accuracy, as it ensures only high-quality data is inputted into the AI Analysis module.
The AI Analysis Module is the core of the system. It applies sophisticated machine learning algorithms to the processed data. The algorithms are capable of categorizing content into predefined classes, identifying trends and patterns among the data, and determining sentiment based on linguistic cues. The AI Analysis module transforms the raw data into actionable insights, offering users a deep understanding of the content under analysis.
The Results Presentation Module is the final stage of the system's operation. It presents the results of the analysis in an accessible and user-friendly format. This module employs data visualization techniques such as graphs, charts, and infographics to display trends, patterns, and sentiments. The visual representations allow users to easily comprehend the results and derive meaningful conclusions.
Notably, the system also includes a Feedback Loop, an innovative feature that allows for continuous learning and improvement. The Feedback Loop uses the results of the analysis to refine the data collection and processing criteria. By learning from past analyses, the system becomes more accurate and relevant in future analyses. This feature ensures scalability of the system, allowing it to adapt to the ever-evolving landscape of online media.
The present invention thus provides an advanced, efficient, and scalable solution for the analysis of data from social media and online news platforms. It is a significant improvement over traditional manual methods, offering speed, accuracy, and adaptability. The system's ability to process large volumes of data, identify trends, patterns, and sentiment, and present the results in a user-friendly format, makes it a revolutionary tool in the field of online media analysis.
The technical problem addressed by the invention is the lack of efficient and accurate software that has innovative program methods and systems for analyzing large volumes of social media and online news media data.
The invention solves the above problem by using artificial intelligence to automate the collection, analysis, and reporting of social media and online news media data. The system can handle large volumes of data, and the method allows for fast and accurate analysis.
The invention provides several advantageous effects, including improved speed, accuracy, and scalability. The system can handle large volumes of data, and the method allows for fast and accurate analysis. This can lead to more informed decisions and strategies for businesses, governments, and other organizations.
Figure 1 is the first schematic diagram illustrating an exemplary computer-based system for implementing the present invention;
Figure 2 is a second schematic diagram illustrating an exemplary computer-based system for implementing the present invention;
Figure 3 is a search flow diagram illustrating an exemplary method of implementing the present invention;
Fig.1
Fig.2
Figure 2
According to Figure 1,2,3, The invention includes a system and method for analyzing social media and online news media data. The system includes a data acquisition module, a data analysis module, and a reporting module. The method includes the steps of collecting data, analyzing the data, and generating reports. Detailed descriptions of the system components and method steps are provided.
The invention can be used in various industries, including but not limited to, marketing, advertising, public relations, journalism, and government. Any organization that uses social media and online news media data can potentially benefit from the invention.

Claims (7)

  1. This software has an AI platform that extracts all of the keywords in the document translates to 153 pronunciation and language and shows you the analysis.
  2. According to Clime 1, This AI software can connect to the audio and extract and detect the information of the presenter and date with and translate the information with another language
  3. An artificial intelligence system for analyzing social media and online news media data, comprising: a data acquisition module, a data analysis module, and a reporting module.
  4. According to Claim 3, the data acquisition module is configured to collect data from various sources.
  5. According to Claim 3, the data analysis module is configured to process and analyze the collected data.
  6. According to Claim 3, the reporting module is configured to generate reports based on the analysis.
  7. A method for analyzing social media and online news media data, comprising the steps of collecting data, analyzing the data, and generating reports.
PCT/IB2023/060959 2023-10-31 2023-10-31 Ai software-social media and online news media data analyst WO2024089675A1 (en)

Priority Applications (1)

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PCT/IB2023/060959 WO2024089675A1 (en) 2023-10-31 2023-10-31 Ai software-social media and online news media data analyst

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IB2023/060959 WO2024089675A1 (en) 2023-10-31 2023-10-31 Ai software-social media and online news media data analyst

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018069449A1 (en) * 2016-10-12 2018-04-19 Crowdynews Machine learning-based data aggregation using social media content
US20220012296A1 (en) * 2020-07-13 2022-01-13 Rovi Guides, Inc. Systems and methods to automatically categorize social media posts and recommend social media posts
KR102413961B1 (en) * 2020-11-19 2022-06-28 정민아 Method for providing news analysis service using robotic process automation monitoring
EP4044097A1 (en) * 2021-02-16 2022-08-17 RepTrak Holdings, Inc. System and method for determining and managing environmental, social, and governance (esg) perception of entities and industries through use of survey and media data

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018069449A1 (en) * 2016-10-12 2018-04-19 Crowdynews Machine learning-based data aggregation using social media content
US20220012296A1 (en) * 2020-07-13 2022-01-13 Rovi Guides, Inc. Systems and methods to automatically categorize social media posts and recommend social media posts
KR102413961B1 (en) * 2020-11-19 2022-06-28 정민아 Method for providing news analysis service using robotic process automation monitoring
EP4044097A1 (en) * 2021-02-16 2022-08-17 RepTrak Holdings, Inc. System and method for determining and managing environmental, social, and governance (esg) perception of entities and industries through use of survey and media data

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