1. A system for analyzing mass communication campaigns using artificial intelligence (AI), the system comprising: a data collection module for collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics; an AI analysis module for processing and analyzing the collected data to evaluate the effectiveness of the campaign; and a reporting module for generating reports based on the analysis of the collected data.

2. The system of claim 1, wherein the AI analysis module utilizes natural language processing (NLP) techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign.

3. The system of claim 1, wherein the AI analysis module uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance.

4. The system of claim 1, wherein the reporting module generates customizable reports with visualizations and metrics related to the analysis of the mass communication campaign.

5. A method for analyzing mass communication campaigns using artificial intelligence (AI), the method comprising the steps of: collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics; processing and analyzing the collected data using AI techniques to evaluate the effectiveness of the campaign; and generating reports based on the analysis of the collected data.

6. The method of claim 5, wherein the processing and analyzing includes using NLP techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign.

7. The method of claim 5, wherein processing and analyzing uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance.

8. The method of claim 5, wherein generating reports includes generating customizable reports with visualizations and metrics related to the analysis of the mass communication campaign   ANALYSIS OF MASS COMMUNICATION CAMPAIGNS Abstract A system for analysing mass communication campaigns using artificial intelligence (AI) may be included in some embodiments of the present disclosure. This system may include a data collection module for the purpose of collecting data related to the campaign, such as message content, media channels, demographic information about the target audience, and campaign performance metrics. A module for the processing and analysis of the data acquired during the campaign may also be included in embodiments. This module's purpose is to determine how successful the campaign was. In certain embodiments, there may additionally be a reporting module that is used to generate reports based on the analysis of the data that was gathered. Fig. 1 , Claims:Claims :

1. A system for analyzing mass communication campaigns using artificial intelligence (AI), the system comprising: a data collection module for collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics; an AI analysis module for processing and analyzing the collected data to evaluate the effectiveness of the campaign; and a reporting module for generating reports based on the analysis of the collected data.

2. The system of claim 1, wherein the AI analysis module utilizes natural language processing (NLP) techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign.

3. The system of claim 1, wherein the AI analysis module uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance.

4. The system of claim 1, wherein the reporting module generates customizable reports with visualizations and metrics related to the analysis of the mass communication campaign.

5. A method for analyzing mass communication campaigns using artificial intelligence (AI), the method comprising the steps of: collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics; processing and analyzing the collected data using AI techniques to evaluate the effectiveness of the campaign; and generating reports based on the analysis of the collected data.

6. The method of claim 5, wherein the processing and analyzing includes using NLP techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign.

7. The method of claim 5, wherein processing and analyzing uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance.

8. The method of claim 5, wherein generating reports includes generating customizable reports with visualizations and metrics related to the analysis of the mass communication campaign

Description:ANALYSIS OF MASS COMMUNICATION CAMPAIGNS
Field of the Invention
[0001] The present invention relates generally to communications-based advertising. More particularly, the system and method for analyzing mass communication campaigns using artificial intelligence (AI)
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Analysis of mass communication campaigns involves evaluating the effectiveness of communication strategies and tactics used in promoting a product, service, or idea to a large audience. The analysis typically involves a systematic and objective examination of various elements of the campaign, including the message, the medium, the target audience, and the overall impact.
[0004] One key element of a mass communication campaign analysis is the message. The message should be clear, concise, and focused on the intended outcome of the campaign. The analysis should evaluate whether the message was communicated effectively and whether it resonated with the target audience. A well-crafted message can increase engagement and support for the campaign, while a poorly constructed message can undermine its effectiveness.
[0005] The medium used to deliver the message is another important factor in the analysis of mass communication campaigns. The medium should be chosen based on the target audience and the goals of the campaign. For example, if the target audience is predominantly young adults, social media platforms like Instagram and TikTok may be more effective than traditional forms of media like television or print. The analysis should evaluate whether the chosen medium reached the intended audience and whether it was an appropriate choice for the campaign.
[0006] The target audience is a critical component of a mass communication campaign analysis. The analysis should consider whether the target audience was properly identified and whether the communication strategies were tailored to their needs and preferences. Understanding the target audience is essential to creating a message that resonates with them and choosing a medium that they are likely to engage with.
[0007] Finally, the overall impact of the mass communication campaign should be evaluated. This includes assessing whether the campaign achieved its intended outcomes, such as increased awareness, sales, or support for a particular cause. The analysis should also consider any unintended consequences of the campaign, such as negative reactions or backlash.
[0008] There are certain patent documents which cater similar segment and filed in different jurisdictions. Few exemplary patent documents are illustrated below.
[0009] US20210233441 (by BERNAL BERNAL RICARDO ADOLFO) - The invention relates to a self-supporting system for the mass communication and distribution of content and digital advertising in public spaces, which comprises: a mechanical structure that sets the system on a building and supports the other components of the system; a control system comprising a module for controlling peripherals and a connectivity module; a peripherals module comprising sensors and actuators; one or more human-machine interfaces; and a power source. The invention also relates to a data processing method for the mass communication and distribution of content and digital advertising, which allows an administrator user to administer, manage and supervise the system remotely, and to a data processing method for allowing a user receiving the advertising message to be able to interact with the self-supporting system for the mass communication and distribution of content and digital advertising in public spaces according to the invention. The present invention allows pre-existing underused or unused urban infrastructure to be utilized for the mass communication and distribution of content and digital advertising in public spaces with high capacity for attracting the attention of, and interacting with, the public, without need to install structures or new surfaces that intrude on the urban environment, with a low cost and reduced environmental impact, owing to a low level or absence of harm to the urban environment and the reduced energy use of the system.
[00010] CN111586497 (by CHONGQING VOCATIONAL INST ENG) - The invention discloses mass communication data remote rapid interaction equipment and a working method thereof. The equipment comprises a protective shell, and the interior of a sliding cavity is slidably connected with a lock cylinder through a sliding block; a plurality of lock plates are fixedly mounted on the inner wall surface of the lock cylinder; an interaction device body is fixedly arranged at the top end of a storage plate; lower sliding rods are fixedly installed at the corners of the interaction device body; a top cover is fixedly arranged at the top of the protective shell; the corners of the bottom end of the top cover are fixedly connected with damp-proof plates; a lock cylinder capable of being rotationally adjusted is arranged at the top end of a protective shell; a lockrod and a lock catch on the top cover are matched; when the top cover is mounted; the top cover is locked, even if fixing screw rods are unscrewed, the corresponding protection locks need to be openedone by one, the safety of the interaction equipment is further improved, air guide pieces are arranged in the protective shell, cooling fins are arranged outside the protective shell, an air duct canbe formed in the protective shell in cooperation with a cooling fan in a mounting plate, rapid cooling can be achieved through cooling windows on the two sides, and the working stability of the interaction equipment is improved.
[00011] US20150213506 (by DIGITAL WAVEFRONT LLC) - Systems, methods, and devices for providing improved data analysis of mass communication campaigns, such as e-mail campaigns. Various embodiments include receiving interaction data for multiple contact points over one or more mass communication campaigns, associating the interaction data for multiple contact points with each of a plurality of recipients of the one or more mass communication campaigns, for each recipient, generating at least one parameter based on the interaction data associated with the recipient over multiple contact points, and providing the at least one parameter to an originator of the mass communication campaign.
[00012] Overall, an effective analysis of a mass communication campaign requires a comprehensive evaluation of the message, medium, target audience, and impact. By analyzing these elements, communication professionals can gain valuable insights into the effectiveness of their strategies and tactics and make informed decisions about future campaigns.

Summary
[00013] The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
[00014] The following paragraphs provide additional support for the claims of the subject application.
[00015] The present invention relates generally to communications-based advertising. More particularly, the system and method for analyzing mass communication campaigns using artificial intelligence (AI)
[00016] Embodiments of the present disclosure may include a system for analyzing mass communication campaigns using artificial intelligence (AI), including a data collection module for collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics. Embodiments may also include an AI analysis module for processing and analyzing the collected data to evaluate the effectiveness of the campaign. Embodiments may also include a reporting module for generating reports based on the analysis of the collected data.
[00017] In some embodiments, the AI analysis module utilizes natural language processing (NLP)techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign. In some embodiments, the AI analysis module uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance. In some embodiments, the reporting module generates customizable reports with visualizations and metrics related to the analysis of the mass communication campaign.
[00018] Embodiments of the present disclosure may also include a method for analyzing mass communication campaigns using artificial intelligence (AI), including the steps of collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics. Embodiments may also include processing and analyzing the collected data using AI techniques to evaluate the effectiveness of the campaign. Embodiments may also include generating reports based on the analysis of the collected data.
[00019] Embodiments may also include processing and analyzing, which includes using NLP techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign. Processing and analyzing uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance. Report generation includes generating customizable reports with visualizations and metrics related to the analysis of the mass communication campaign.
Brief Description of the Drawings
[00020] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00021] FIG. 1 is a block diagram illustrating a system for analyzing mass communication campaigns using artificial intelligence (AI), according to some embodiments of the present disclosure.
[00022] FIG. 2 is a flowchart illustrating a method for analyzing mass communication campaigns, according to some embodiments of the present disclosure.
Detailed Description
[00023] In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
[00024] The use of the terms “a” and “an” and “the” and “at least one” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term “at least one” followed by a list of one or more items (for example, “at least one of A and B”) is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
[00025] The present invention relates generally to communications-based advertising. More particularly, the system and method for analyzing mass communication campaigns using artificial intelligence (AI)
[00026] A system 100 is broken down into its component parts and diagrammatically depicted in FIG. 1 for analyzing mass communication campaigns using artificial intelligence (AI), in accordance with various implementations of the present disclosure. The system 100 may, in some implementations, contain a data collection module 110 for the purpose of collecting data pertaining to the campaign, an AI analysis module 120 for the purpose of processing and analysing the collected data to evaluate the efficacy of the campaign, and a reporting module 130 for the purpose of generating reports based on the analysis of the collected data. All three modules may be present, depending on the specifics of the implementation. Message content 112, media channels 114, demographics of the target audience 116, and metrics relating to the effectiveness of the campaign 118 are all possible components of the data gathering module 110.
[00027] The AI analysis module 120 may, in some implementations, make use of natural language processing (NLP) techniques in order to evaluate the tone of the campaign and sentiment analysis in order to conduct an analysis of the content of the message 112. The AI analysis module 120 may, in certain implementations, employ machine learning methods in order to recognise patterns within the data and generate predictions on the effectiveness of the campaign. The reporting module 130 in certain implementations is able to provide configurable reports with graphics and metrics linked to the study of the mass communication campaign.
[00028] The technique for assessing mass communication campaigns is illustrated in flowchart form in FIG. 2, which provides a description of the process in accordance with various embodiments of the present disclosure. At step 210, the method may, in some implementations, comprise the step of collecting data relating to the campaign. This data may include message content, media channels, demographic information on the target audience, and campaign performance indicators. The technique can include, at step 220, the generation of reports based on the analysis of the data that was obtained.
[00029] The use of natural language processing (NLP) techniques to assess the message content and sentiment analysis to evaluate the tone of the campaign may be included in certain implementations, which may involve the use of machine learning techniques in order to recognise trends in the data and generate predictions on the performance of the campaign. In certain implementations, the generation of customisable reports with visuals and metrics linked to the study of the mass communication campaign may be generated.
[00030] A system for analysing mass communication campaigns using artificial intelligence (AI) may be included in some embodiments of the present disclosure. This system may include a data collection module for the purpose of collecting data related to the campaign, such as message content, media channels, demographic information about the target audience, and campaign performance metrics. A module for the processing and analysis of the data acquired during the campaign may also be included in embodiments. This module's purpose is to determine how successful the campaign was. In certain embodiments, there may additionally be a reporting module that is used to generate reports based on the analysis of the data that was gathered.
[00031] The AI analysis module, in certain implementations, makes use of natural language processing (NLP) techniques in order to assess the content of the message and sentiment analysis in order to evaluate the tone of the campaign. The AI analysis module may, in certain implementations, make use of machine learning methods in order to recognise patterns in the data and arrive at conclusions on the effectiveness of the campaign. In certain implementations, the reporting module is responsible for generating configurable reports that contain visuals and metrics relevant to the study of the mass communication campaign.
[00032] A method for analysing mass communication campaigns using artificial intelligence (AI) may also be included in embodiments of the present disclosure. This method may include the steps of collecting data related to the campaign, such as the message content, media channels, target audience demographics, and campaign performance metrics. In certain embodiments, determining the efficacy of a campaign may also involve processing and analysing the data acquired via the campaign using techniques from artificial intelligence. In some embodiments, there is also the possibility of producing reports based on the analysis of the data that was obtained.
[00033] In certain embodiments, processing and analyzing may additionally involve employing natural language processing (NLP) techniques to evaluate the tone of the campaign and sentiment analysis to determine the substance of the messages. Processing and analyzing, which employs machine learning algorithms to discover patterns in the data and create predictions about the effectiveness of the campaign, is another step that may be included in embodiments. In some implementations, report generation may consist of creating customisable reports with visuals and metrics linked to the study of the mass communication campaign.
[00034] Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
[00035] Throughout the present disclosure, the term ‘processing means’ or ‘microprocessor’ or ‘processor’ or ‘processors’ includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00036] The term “non-transitory storage device” or “storage” or “memory,” as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00037] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00038] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

Claims
I/We Claim:
1. A system for analyzing mass communication campaigns using artificial intelligence (AI), the system comprising:
a data collection module for collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics;
an AI analysis module for processing and analyzing the collected data to evaluate the effectiveness of the campaign; and
a reporting module for generating reports based on the analysis of the collected data.

2. The system of claim 1, wherein the AI analysis module utilizes natural language processing (NLP) techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign.

3. The system of claim 1, wherein the AI analysis module uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance.

4. The system of claim 1, wherein the reporting module generates customizable reports with visualizations and metrics related to the analysis of the mass communication campaign.

5. A method for analyzing mass communication campaigns using artificial intelligence (AI), the method comprising the steps of:

collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics;
processing and analyzing the collected data using AI techniques to evaluate the effectiveness of the campaign; and

generating reports based on the analysis of the collected data.

6. The method of claim 5, wherein the processing and analyzing includes using NLP techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign.

7. The method of claim 5, wherein processing and analyzing uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance.

8. The method of claim 5, wherein generating reports includes generating customizable reports with visualizations and metrics related to the analysis of the mass communication campaign
 

ANALYSIS OF MASS COMMUNICATION CAMPAIGNS
Abstract
A system for analysing mass communication campaigns using artificial intelligence (AI) may be included in some embodiments of the present disclosure. This system may include a data collection module for the purpose of collecting data related to the campaign, such as message content, media channels, demographic information about the target audience, and campaign performance metrics. A module for the processing and analysis of the data acquired during the campaign may also be included in embodiments. This module's purpose is to determine how successful the campaign was. In certain embodiments, there may additionally be a reporting module that is used to generate reports based on the analysis of the data that was gathered.

Fig. 1 , Claims:Claims
I/We Claim:
1. A system for analyzing mass communication campaigns using artificial intelligence (AI), the system comprising:
a data collection module for collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics;
an AI analysis module for processing and analyzing the collected data to evaluate the effectiveness of the campaign; and
a reporting module for generating reports based on the analysis of the collected data.

2. The system of claim 1, wherein the AI analysis module utilizes natural language processing (NLP) techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign.

3. The system of claim 1, wherein the AI analysis module uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance.

4. The system of claim 1, wherein the reporting module generates customizable reports with visualizations and metrics related to the analysis of the mass communication campaign.

5. A method for analyzing mass communication campaigns using artificial intelligence (AI), the method comprising the steps of:

collecting data related to the campaign, including message content, media channels, target audience demographics, and campaign performance metrics;
processing and analyzing the collected data using AI techniques to evaluate the effectiveness of the campaign; and

generating reports based on the analysis of the collected data.

6. The method of claim 5, wherein the processing and analyzing includes using NLP techniques to analyze the message content and sentiment analysis to evaluate the tone of the campaign.

7. The method of claim 5, wherein processing and analyzing uses machine learning algorithms to identify patterns in the data and make predictions about the campaign's performance.

8. The method of claim 5, wherein generating reports includes generating customizable reports with visualizations and metrics related to the analysis of the mass communication campaign